---
_id: '10148'
abstract:
- lang: eng
text: Tactile feedback of an object’s surface enables us to discern its material
properties and affordances. This understanding is used in digital fabrication
processes by creating objects with high-resolution surface variations to influence
a user’s tactile perception. As the design of such surface haptics commonly relies
on knowledge from real-life experiences, it is unclear how to adapt this information
for digital design methods. In this work, we investigate replicating the haptics
of real materials. Using an existing process for capturing an object’s microgeometry,
we digitize and reproduce the stable surface information of a set of 15 fabric
samples. In a psychophysical experiment, we evaluate the tactile qualities of
our set of original samples and their replicas. From our results, we see that
direct reproduction of surface variations is able to influence different psychophysical
dimensions of the tactile perception of surface textures. While the fabrication
process did not preserve all properties, our approach underlines that replication
of surface microgeometries benefits fabrication methods in terms of haptic perception
by covering a large range of tactile variations. Moreover, by changing the surface
structure of a single fabricated material, its material perception can be influenced.
We conclude by proposing strategies for capturing and reproducing digitized textures
to better resemble the perceived haptics of the originals.
acknowledgement: Our gratitude goes out to Kamila Mushkina, Akhmajon Makhsadov, Jordan
Espenshade, Bruno Fruchard, Roland Bennewitz, and Robert Drumm. This project has
received funding from the EU’s Horizon 2020 research and innovation programme, under
the Marie Skłodowska-Curie grant agreement No 642841 (DISTRO).
article_processing_charge: No
author:
- first_name: Donald
full_name: Degraen, Donald
last_name: Degraen
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Antonio
full_name: Kruger, Antonio
last_name: Kruger
citation:
ama: 'Degraen D, Piovarci M, Bickel B, Kruger A. Capturing tactile properties of
real surfaces for haptic reproduction. In: 34th Annual ACM Symposium. Association
for Computing Machinery; 2021:954-971. doi:10.1145/3472749.3474798'
apa: 'Degraen, D., Piovarci, M., Bickel, B., & Kruger, A. (2021). Capturing
tactile properties of real surfaces for haptic reproduction. In 34th Annual
ACM Symposium (pp. 954–971). Virtual: Association for Computing Machinery.
https://doi.org/10.1145/3472749.3474798'
chicago: Degraen, Donald, Michael Piovarci, Bernd Bickel, and Antonio Kruger. “Capturing
Tactile Properties of Real Surfaces for Haptic Reproduction.” In 34th Annual
ACM Symposium, 954–71. Association for Computing Machinery, 2021. https://doi.org/10.1145/3472749.3474798.
ieee: D. Degraen, M. Piovarci, B. Bickel, and A. Kruger, “Capturing tactile properties
of real surfaces for haptic reproduction,” in 34th Annual ACM Symposium,
Virtual, 2021, pp. 954–971.
ista: 'Degraen D, Piovarci M, Bickel B, Kruger A. 2021. Capturing tactile properties
of real surfaces for haptic reproduction. 34th Annual ACM Symposium. UIST: User
Interface Software and Technology, 954–971.'
mla: Degraen, Donald, et al. “Capturing Tactile Properties of Real Surfaces for
Haptic Reproduction.” 34th Annual ACM Symposium, Association for Computing
Machinery, 2021, pp. 954–71, doi:10.1145/3472749.3474798.
short: D. Degraen, M. Piovarci, B. Bickel, A. Kruger, in:, 34th Annual ACM Symposium,
Association for Computing Machinery, 2021, pp. 954–971.
conference:
end_date: 2021-10-14
location: Virtual
name: 'UIST: User Interface Software and Technology'
start_date: 2021-10-10
date_created: 2021-10-18T07:36:11Z
date_published: 2021-10-10T00:00:00Z
date_updated: 2021-10-19T19:29:06Z
day: '10'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3472749.3474798
ec_funded: 1
file:
- access_level: open_access
checksum: b0b26464df79b3a59e8ed82e4e19ab15
content_type: application/pdf
creator: bbickel
date_created: 2021-10-18T07:36:03Z
date_updated: 2021-10-18T07:36:03Z
file_id: '10149'
file_name: degraen-UIST2021_Texture_Appropriation_CR_preprint.pdf
file_size: 29796364
relation: main_file
file_date_updated: 2021-10-18T07:36:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Preprint
page: 954-971
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
publication: 34th Annual ACM Symposium
publication_identifier:
isbn:
- 978-1-4503-8635-7
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Capturing tactile properties of real surfaces for haptic reproduction
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2021'
...
---
_id: '9241'
abstract:
- lang: eng
text: 'Volumetric light transport is a pervasive physical phenomenon, and therefore
its accurate simulation is important for a broad array of disciplines. While suitable
mathematical models for computing the transport are now available, obtaining the
necessary material parameters needed to drive such simulations is a challenging
task: direct measurements of these parameters from material samples are seldom
possible. Building on the inverse scattering paradigm, we present a novel measurement
approach which indirectly infers the transport parameters from extrinsic observations
of multiple-scattered radiance. The novelty of the proposed approach lies in replacing
structured illumination with a structured reflector bonded to the sample, and
a robust fitting procedure that largely compensates for potential systematic errors
in the calibration of the setup. We show the feasibility of our approach by validating
simulations of complex 3D compositions of the measured materials against physical
prints, using photo-polymer resins. As presented in this paper, our technique
yields colorspace data suitable for accurate appearance reproduction in the area
of 3D printing. Beyond that, and without fundamental changes to the basic measurement
methodology, it could equally well be used to obtain spectral measurements that
are useful for other application areas.'
acknowledgement: "H2020 Marie Skłodowska-Curie Actions (642841); European Research
Council (715767); Grantová Agentura České Republiky (16-08111S, 16-18964S); Univerzita
Karlova v Praze (SVV-2017-260452); Engineering and Physical Sciences Research Council
(EP/K023578/1).\r\nWe are grateful to Stratasys Ltd. for access to the voxel-level
print interface of the J750\r\nmachine."
article_processing_charge: No
article_type: original
author:
- first_name: Oskar
full_name: Elek, Oskar
last_name: Elek
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
- first_name: Denis
full_name: Sumin, Denis
last_name: Sumin
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Alexander
full_name: Wilkie, Alexander
last_name: Wilkie
- first_name: Jaroslav
full_name: Křivánek, Jaroslav
last_name: Křivánek
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
citation:
ama: Elek O, Zhang R, Sumin D, et al. Robust and practical measurement of volume
transport parameters in solid photo-polymer materials for 3D printing. Optics
Express. 2021;29(5):7568-7588. doi:10.1364/OE.406095
apa: Elek, O., Zhang, R., Sumin, D., Myszkowski, K., Bickel, B., Wilkie, A., … Weyrich,
T. (2021). Robust and practical measurement of volume transport parameters in
solid photo-polymer materials for 3D printing. Optics Express. The Optical
Society. https://doi.org/10.1364/OE.406095
chicago: Elek, Oskar, Ran Zhang, Denis Sumin, Karol Myszkowski, Bernd Bickel, Alexander
Wilkie, Jaroslav Křivánek, and Tim Weyrich. “Robust and Practical Measurement
of Volume Transport Parameters in Solid Photo-Polymer Materials for 3D Printing.”
Optics Express. The Optical Society, 2021. https://doi.org/10.1364/OE.406095.
ieee: O. Elek et al., “Robust and practical measurement of volume transport
parameters in solid photo-polymer materials for 3D printing,” Optics Express,
vol. 29, no. 5. The Optical Society, pp. 7568–7588, 2021.
ista: Elek O, Zhang R, Sumin D, Myszkowski K, Bickel B, Wilkie A, Křivánek J, Weyrich
T. 2021. Robust and practical measurement of volume transport parameters in solid
photo-polymer materials for 3D printing. Optics Express. 29(5), 7568–7588.
mla: Elek, Oskar, et al. “Robust and Practical Measurement of Volume Transport Parameters
in Solid Photo-Polymer Materials for 3D Printing.” Optics Express, vol.
29, no. 5, The Optical Society, 2021, pp. 7568–88, doi:10.1364/OE.406095.
short: O. Elek, R. Zhang, D. Sumin, K. Myszkowski, B. Bickel, A. Wilkie, J. Křivánek,
T. Weyrich, Optics Express 29 (2021) 7568–7588.
date_created: 2021-03-14T23:01:33Z
date_published: 2021-03-01T00:00:00Z
date_updated: 2023-08-07T14:11:57Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1364/OE.406095
ec_funded: 1
external_id:
isi:
- '000624968100103'
file:
- access_level: open_access
checksum: a9697ad83136c19ad87e46aa2db63cfd
content_type: application/pdf
creator: dernst
date_created: 2021-03-22T08:15:28Z
date_updated: 2021-03-22T08:15:28Z
file_id: '9269'
file_name: 2021_OpticsExpress_Elek.pdf
file_size: 10873700
relation: main_file
success: 1
file_date_updated: 2021-03-22T08:15:28Z
has_accepted_license: '1'
intvolume: ' 29'
isi: 1
issue: '5'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '03'
oa: 1
oa_version: Published Version
page: 7568-7588
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Optics Express
publication_identifier:
eissn:
- 1094-4087
publication_status: published
publisher: The Optical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Robust and practical measurement of volume transport parameters in solid photo-polymer
materials for 3D printing
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 29
year: '2021'
...
---
_id: '9376'
abstract:
- lang: eng
text: This paper presents a method for designing planar multistable compliant structures.
Given a sequence of desired stable states and the corresponding poses of the structure,
we identify the topology and geometric realization of a mechanism—consisting of
bars and joints—that is able to physically reproduce the desired multistable behavior.
In order to solve this problem efficiently, we build on insights from minimally
rigid graph theory to identify simple but effective topologies for the mechanism.
We then optimize its geometric parameters, such as joint positions and bar lengths,
to obtain correct transitions between the given poses. Simultaneously, we ensure
adequate stability of each pose based on an effective approximate error metric
related to the elastic energy Hessian of the bars in the mechanism. As demonstrated
by our results, we obtain functional multistable mechanisms of manageable complexity
that can be fabricated using 3D printing. Further, we evaluated the effectiveness
of our method on a large number of examples in the simulation and fabricated several
physical prototypes.
acknowledged_ssus:
- _id: M-Shop
acknowledgement: 'We would like to thank everyone who contributed to this paper, the
authors of artworks for all the examples, including @macrovec-tor_official and Wikimedia
for the FLAG semaphore, and @pikisuper-star for the FIGURINE. The photos of iconic
poses in the teaser were supplied by (from left to right): Mike Hewitt/Olympics
Day 8 - Athletics/Gettty Images, Oneinchpunch/Basketball player training on acourt
in New york city/Shutterstock, and Andrew Redington/TigerWoods/Getty Images. We
also want to express our gratitude to Christian Hafner for insightful discussions,
the IST Austria machine shop SSU, all proof-readers, and anonymous reviewers. This
project has received funding from the European Union’s Horizon 2020 research and
innovation programme, under the Marie Skłodowska-Curie grant agreement No 642841
(DISTRO), and under the European Research Council grant agreement No 715767 (MATERIALIZABLE).'
article_number: '186'
article_processing_charge: No
article_type: original
author:
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
- first_name: Thomas
full_name: Auzinger, Thomas
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Zhang R, Auzinger T, Bickel B. Computational design of planar multistable compliant
structures. ACM Transactions on Graphics. 2021;40(5). doi:10.1145/3453477
apa: Zhang, R., Auzinger, T., & Bickel, B. (2021). Computational design of planar
multistable compliant structures. ACM Transactions on Graphics. Association
for Computing Machinery. https://doi.org/10.1145/3453477
chicago: Zhang, Ran, Thomas Auzinger, and Bernd Bickel. “Computational Design of
Planar Multistable Compliant Structures.” ACM Transactions on Graphics.
Association for Computing Machinery, 2021. https://doi.org/10.1145/3453477.
ieee: R. Zhang, T. Auzinger, and B. Bickel, “Computational design of planar multistable
compliant structures,” ACM Transactions on Graphics, vol. 40, no. 5. Association
for Computing Machinery, 2021.
ista: Zhang R, Auzinger T, Bickel B. 2021. Computational design of planar multistable
compliant structures. ACM Transactions on Graphics. 40(5), 186.
mla: Zhang, Ran, et al. “Computational Design of Planar Multistable Compliant Structures.”
ACM Transactions on Graphics, vol. 40, no. 5, 186, Association for Computing
Machinery, 2021, doi:10.1145/3453477.
short: R. Zhang, T. Auzinger, B. Bickel, ACM Transactions on Graphics 40 (2021).
date_created: 2021-05-08T17:37:08Z
date_published: 2021-10-08T00:00:00Z
date_updated: 2023-08-08T13:31:38Z
day: '08'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3453477
ec_funded: 1
external_id:
isi:
- '000752079300003'
file:
- access_level: open_access
checksum: 8564b3118457d4c8939a8ef2b1a2f16c
content_type: application/pdf
creator: bbickel
date_created: 2021-05-08T17:36:59Z
date_updated: 2021-05-08T17:36:59Z
file_id: '9377'
file_name: Multistable-authorversion.pdf
file_size: 18926557
relation: main_file
- access_level: open_access
checksum: 3b6e874e30bfa1bfc3ad3498710145a1
content_type: video/mp4
creator: bbickel
date_created: 2021-05-08T17:38:22Z
date_updated: 2021-05-08T17:38:22Z
file_id: '9378'
file_name: multistable-video.mp4
file_size: 76542901
relation: main_file
success: 1
- access_level: open_access
checksum: 20dc3bc42e1a912a5b0247c116772098
content_type: application/pdf
creator: bbickel
date_created: 2021-12-17T08:13:51Z
date_updated: 2021-12-17T08:13:51Z
description: This document provides additional results and analyzes the robustness
and limitations of our approach.
file_id: '10562'
file_name: multistable-supplementary material.pdf
file_size: 3367072
relation: supplementary_material
title: Supplementary Material for “Computational Design of Planar Multistable Compliant
Structures”
file_date_updated: 2021-12-17T08:13:51Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '5'
keyword:
- multistability
- mechanism
- computational design
- rigidity
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Computational design of planar multistable compliant structures
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '9408'
abstract:
- lang: eng
text: We present a computational design system that assists users to model, optimize,
and fabricate quad-robots with soft skins. Our system addresses the challenging
task of predicting their physical behavior by fully integrating the multibody
dynamics of the mechanical skeleton and the elastic behavior of the soft skin.
The developed motion control strategy uses an alternating optimization scheme
to avoid expensive full space time-optimization, interleaving space-time optimization
for the skeleton, and frame-by-frame optimization for the full dynamics. The output
are motor torques to drive the robot to achieve a user prescribed motion trajectory.
We also provide a collection of convenient engineering tools and empirical manufacturing
guidance to support the fabrication of the designed quad-robot. We validate the
feasibility of designs generated with our system through physics simulations and
with a physically-fabricated prototype.
acknowledgement: The authors would like to thank anonymous reviewers for their constructive
comments. Weiwei Xu is partially supported by Zhejiang Lab. Yin Yang is partially
spported by NSF under Grant Nos. CHS 1845024 and 1717972. Weiwei Xu and Hujun Bao
are supported by Fundamental Research Funds for the Central Universities. This project
has received funding from the European Research Council (ERC) under the European
Unions Horizon 2020 research and innovation programme (Grant agreement No 715767).
article_number: 2881-2895
article_processing_charge: No
author:
- first_name: Xudong
full_name: Feng, Xudong
last_name: Feng
- first_name: Jiafeng
full_name: Liu, Jiafeng
last_name: Liu
- first_name: Huamin
full_name: Wang, Huamin
last_name: Wang
- first_name: Yin
full_name: Yang, Yin
last_name: Yang
- first_name: Hujun
full_name: Bao, Hujun
last_name: Bao
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Weiwei
full_name: Xu, Weiwei
last_name: Xu
citation:
ama: Feng X, Liu J, Wang H, et al. Computational design of skinned Quad-Robots.
IEEE Transactions on Visualization and Computer Graphics. 2021;27(6). doi:10.1109/TVCG.2019.2957218
apa: Feng, X., Liu, J., Wang, H., Yang, Y., Bao, H., Bickel, B., & Xu, W. (2021).
Computational design of skinned Quad-Robots. IEEE Transactions on Visualization
and Computer Graphics. IEEE. https://doi.org/10.1109/TVCG.2019.2957218
chicago: Feng, Xudong, Jiafeng Liu, Huamin Wang, Yin Yang, Hujun Bao, Bernd Bickel,
and Weiwei Xu. “Computational Design of Skinned Quad-Robots.” IEEE Transactions
on Visualization and Computer Graphics. IEEE, 2021. https://doi.org/10.1109/TVCG.2019.2957218.
ieee: X. Feng et al., “Computational design of skinned Quad-Robots,” IEEE
Transactions on Visualization and Computer Graphics, vol. 27, no. 6. IEEE,
2021.
ista: Feng X, Liu J, Wang H, Yang Y, Bao H, Bickel B, Xu W. 2021. Computational
design of skinned Quad-Robots. IEEE Transactions on Visualization and Computer
Graphics. 27(6), 2881–2895.
mla: Feng, Xudong, et al. “Computational Design of Skinned Quad-Robots.” IEEE
Transactions on Visualization and Computer Graphics, vol. 27, no. 6, 2881–2895,
IEEE, 2021, doi:10.1109/TVCG.2019.2957218.
short: X. Feng, J. Liu, H. Wang, Y. Yang, H. Bao, B. Bickel, W. Xu, IEEE Transactions
on Visualization and Computer Graphics 27 (2021).
date_created: 2021-05-23T22:01:42Z
date_published: 2021-06-01T00:00:00Z
date_updated: 2023-08-08T13:45:46Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1109/TVCG.2019.2957218
ec_funded: 1
external_id:
isi:
- '000649620700009'
pmid:
- '31804937'
file:
- access_level: open_access
checksum: a78e6ac94e33ade4ffaea66943d5f7dc
content_type: application/pdf
creator: kschuh
date_created: 2021-05-25T15:08:49Z
date_updated: 2021-05-25T15:08:49Z
file_id: '9427'
file_name: 2021_TVCG_Feng.pdf
file_size: 6183002
relation: main_file
success: 1
file_date_updated: 2021-05-25T15:08:49Z
has_accepted_license: '1'
intvolume: ' 27'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: IEEE Transactions on Visualization and Computer Graphics
publication_identifier:
eissn:
- '10772626'
issn:
- '19410506'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Computational design of skinned Quad-Robots
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 27
year: '2021'
...
---
_id: '9819'
abstract:
- lang: eng
text: Photorealistic editing of head portraits is a challenging task as humans are
very sensitive to inconsistencies in faces. We present an approach for high-quality
intuitive editing of the camera viewpoint and scene illumination (parameterised
with an environment map) in a portrait image. This requires our method to capture
and control the full reflectance field of the person in the image. Most editing
approaches rely on supervised learning using training data captured with setups
such as light and camera stages. Such datasets are expensive to acquire, not readily
available and do not capture all the rich variations of in-the-wild portrait images.
In addition, most supervised approaches only focus on relighting, and do not allow
camera viewpoint editing. Thus, they only capture and control a subset of the
reflectance field. Recently, portrait editing has been demonstrated by operating
in the generative model space of StyleGAN. While such approaches do not require
direct supervision, there is a significant loss of quality when compared to the
supervised approaches. In this paper, we present a method which learns from limited
supervised training data. The training images only include people in a fixed neutral
expression with eyes closed, without much hair or background variations. Each
person is captured under 150 one-light-at-a-time conditions and under 8 camera
poses. Instead of training directly in the image space, we design a supervised
problem which learns transformations in the latent space of StyleGAN. This combines
the best of supervised learning and generative adversarial modeling. We show that
the StyleGAN prior allows for generalisation to different expressions, hairstyles
and backgrounds. This produces high-quality photorealistic results for in-the-wild
images and significantly outperforms existing methods. Our approach can edit the
illumination and pose simultaneously, and runs at interactive rates.
acknowledgement: This work was supported by the ERC Consolidator Grant 4DReply (770784).
We also acknowledge support from Technicolor and InterDigital. We thank Tiancheng
Sun for kindly helping us with the comparisons with Sun et al. [2019].
article_number: '44'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: B. R.
full_name: Mallikarjun, B. R.
last_name: Mallikarjun
- first_name: Ayush
full_name: Tewari, Ayush
last_name: Tewari
- first_name: Abdallah
full_name: Dib, Abdallah
last_name: Dib
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Hans Peter
full_name: Seidel, Hans Peter
last_name: Seidel
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
- first_name: Louis
full_name: Chevallier, Louis
last_name: Chevallier
- first_name: Mohamed A.
full_name: Elgharib, Mohamed A.
last_name: Elgharib
- first_name: Christian
full_name: Theobalt, Christian
last_name: Theobalt
citation:
ama: 'Mallikarjun BR, Tewari A, Dib A, et al. PhotoApp: Photorealistic appearance
editing of head portraits. ACM Transactions on Graphics. 2021;40(4). doi:10.1145/3450626.3459765'
apa: 'Mallikarjun, B. R., Tewari, A., Dib, A., Weyrich, T., Bickel, B., Seidel,
H. P., … Theobalt, C. (2021). PhotoApp: Photorealistic appearance editing of head
portraits. ACM Transactions on Graphics. Association for Computing Machinery.
https://doi.org/10.1145/3450626.3459765'
chicago: 'Mallikarjun, B. R., Ayush Tewari, Abdallah Dib, Tim Weyrich, Bernd Bickel,
Hans Peter Seidel, Hanspeter Pfister, et al. “PhotoApp: Photorealistic Appearance
Editing of Head Portraits.” ACM Transactions on Graphics. Association for
Computing Machinery, 2021. https://doi.org/10.1145/3450626.3459765.'
ieee: 'B. R. Mallikarjun et al., “PhotoApp: Photorealistic appearance editing
of head portraits,” ACM Transactions on Graphics, vol. 40, no. 4. Association
for Computing Machinery, 2021.'
ista: 'Mallikarjun BR, Tewari A, Dib A, Weyrich T, Bickel B, Seidel HP, Pfister
H, Matusik W, Chevallier L, Elgharib MA, Theobalt C. 2021. PhotoApp: Photorealistic
appearance editing of head portraits. ACM Transactions on Graphics. 40(4), 44.'
mla: 'Mallikarjun, B. R., et al. “PhotoApp: Photorealistic Appearance Editing of
Head Portraits.” ACM Transactions on Graphics, vol. 40, no. 4, 44, Association
for Computing Machinery, 2021, doi:10.1145/3450626.3459765.'
short: B.R. Mallikarjun, A. Tewari, A. Dib, T. Weyrich, B. Bickel, H.P. Seidel,
H. Pfister, W. Matusik, L. Chevallier, M.A. Elgharib, C. Theobalt, ACM Transactions
on Graphics 40 (2021).
date_created: 2021-08-08T22:01:27Z
date_published: 2021-08-01T00:00:00Z
date_updated: 2023-08-10T14:25:08Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3450626.3459765
external_id:
arxiv:
- '2103.07658'
isi:
- '000674930900011'
file:
- access_level: open_access
checksum: 51b61b7e5c175e2d7ed8fa3b35f7525a
content_type: application/pdf
creator: asandaue
date_created: 2021-08-09T11:41:50Z
date_updated: 2021-08-09T11:41:50Z
file_id: '9834'
file_name: 2021_ACMTransactionsOnGraphics_Mallikarjun.pdf
file_size: 49840741
relation: main_file
success: 1
file_date_updated: 2021-08-09T11:41:50Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'PhotoApp: Photorealistic appearance editing of head portraits'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '9820'
abstract:
- lang: eng
text: Material appearance hinges on material reflectance properties but also surface
geometry and illumination. The unlimited number of potential combinations between
these factors makes understanding and predicting material appearance a very challenging
task. In this work, we collect a large-scale dataset of perceptual ratings of
appearance attributes with more than 215,680 responses for 42,120 distinct combinations
of material, shape, and illumination. The goal of this dataset is twofold. First,
we analyze for the first time the effects of illumination and geometry in material
perception across such a large collection of varied appearances. We connect our
findings to those of the literature, discussing how previous knowledge generalizes
across very diverse materials, shapes, and illuminations. Second, we use the collected
dataset to train a deep learning architecture for predicting perceptual attributes
that correlate with human judgments. We demonstrate the consistent and robust
behavior of our predictor in various challenging scenarios, which, for the first
time, enables estimating perceived material attributes from general 2D images.
Since our predictor relies on the final appearance in an image, it can compare
appearance properties across different geometries and illumination conditions.
Finally, we demonstrate several applications that use our predictor, including
appearance reproduction using 3D printing, BRDF editing by integrating our predictor
in a differentiable renderer, illumination design, or material recommendations
for scene design.
acknowledgement: This project has received funding from the European Union’s Horizon
2020 research and innovation programme under the Marie Skłodowska-Curie, grant agreement
Nº 765911 (RealVision) and from the European Research Council (ERC), grant agreement
Nº 804226 (PERDY).
article_number: '125'
article_processing_charge: No
article_type: original
author:
- first_name: Ana
full_name: Serrano, Ana
last_name: Serrano
- first_name: Bin
full_name: Chen, Bin
last_name: Chen
- first_name: Chao
full_name: Wang, Chao
last_name: Wang
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
orcid: 0000-0002-5062-4474
- first_name: Hans Peter
full_name: Seidel, Hans Peter
last_name: Seidel
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
citation:
ama: 'Serrano A, Chen B, Wang C, et al. The effect of shape and illumination on
material perception: Model and applications. ACM Transactions on Graphics.
2021;40(4). doi:10.1145/3450626.3459813'
apa: 'Serrano, A., Chen, B., Wang, C., Piovarci, M., Seidel, H. P., Didyk, P., &
Myszkowski, K. (2021). The effect of shape and illumination on material perception:
Model and applications. ACM Transactions on Graphics. Association for Computing
Machinery. https://doi.org/10.1145/3450626.3459813'
chicago: 'Serrano, Ana, Bin Chen, Chao Wang, Michael Piovarci, Hans Peter Seidel,
Piotr Didyk, and Karol Myszkowski. “The Effect of Shape and Illumination on Material
Perception: Model and Applications.” ACM Transactions on Graphics. Association
for Computing Machinery, 2021. https://doi.org/10.1145/3450626.3459813.'
ieee: 'A. Serrano et al., “The effect of shape and illumination on material
perception: Model and applications,” ACM Transactions on Graphics, vol.
40, no. 4. Association for Computing Machinery, 2021.'
ista: 'Serrano A, Chen B, Wang C, Piovarci M, Seidel HP, Didyk P, Myszkowski K.
2021. The effect of shape and illumination on material perception: Model and applications.
ACM Transactions on Graphics. 40(4), 125.'
mla: 'Serrano, Ana, et al. “The Effect of Shape and Illumination on Material Perception:
Model and Applications.” ACM Transactions on Graphics, vol. 40, no. 4,
125, Association for Computing Machinery, 2021, doi:10.1145/3450626.3459813.'
short: A. Serrano, B. Chen, C. Wang, M. Piovarci, H.P. Seidel, P. Didyk, K. Myszkowski,
ACM Transactions on Graphics 40 (2021).
date_created: 2021-08-08T22:01:28Z
date_published: 2021-08-01T00:00:00Z
date_updated: 2023-08-10T14:20:10Z
day: '01'
department:
- _id: BeBi
doi: 10.1145/3450626.3459813
external_id:
isi:
- '000674930900090'
intvolume: ' 40'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://zaguan.unizar.es/record/110704/files/texto_completo.pdf
month: '08'
oa: 1
oa_version: Submitted Version
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The effect of shape and illumination on material perception: Model and applications'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '9957'
abstract:
- lang: eng
text: The reflectance field of a face describes the reflectance properties responsible
for complex lighting effects including diffuse, specular, inter-reflection and
self shadowing. Most existing methods for estimating the face reflectance from
a monocular image assume faces to be diffuse with very few approaches adding a
specular component. This still leaves out important perceptual aspects of reflectance
as higher-order global illumination effects and self-shadowing are not modeled.
We present a new neural representation for face reflectance where we can estimate
all components of the reflectance responsible for the final appearance from a
single monocular image. Instead of modeling each component of the reflectance
separately using parametric models, our neural representation allows us to generate
a basis set of faces in a geometric deformation-invariant space, parameterized
by the input light direction, viewpoint and face geometry. We learn to reconstruct
this reflectance field of a face just from a monocular image, which can be used
to render the face from any viewpoint in any light condition. Our method is trained
on a light-stage training dataset, which captures 300 people illuminated with
150 light conditions from 8 viewpoints. We show that our method outperforms existing
monocular reflectance reconstruction methods, in terms of photorealism due to
better capturing of physical premitives, such as sub-surface scattering, specularities,
self-shadows and other higher-order effects.
acknowledgement: "We thank Tarun Yenamandra and Duarte David for helping us with the
comparisons. This work was supported by the\r\nERC Consolidator Grant 4DReply (770784).
We also acknowledge support from InterDigital."
article_processing_charge: No
author:
- first_name: Mallikarjun
full_name: B R, Mallikarjun
last_name: B R
- first_name: Ayush
full_name: Tewari, Ayush
last_name: Tewari
- first_name: Tae-Hyun
full_name: Oh, Tae-Hyun
last_name: Oh
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Hans-Peter
full_name: Seidel, Hans-Peter
last_name: Seidel
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
- first_name: Mohamed
full_name: Elgharib, Mohamed
last_name: Elgharib
- first_name: Christian
full_name: Theobalt, Christian
last_name: Theobalt
citation:
ama: 'B R M, Tewari A, Oh T-H, et al. Monocular reconstruction of neural face reflectance
fields. In: Proceedings of the IEEE Computer Society Conference on Computer
Vision and Pattern Recognition. IEEE; 2021:4791-4800. doi:10.1109/CVPR46437.2021.00476'
apa: 'B R, M., Tewari, A., Oh, T.-H., Weyrich, T., Bickel, B., Seidel, H.-P., …
Theobalt, C. (2021). Monocular reconstruction of neural face reflectance fields.
In Proceedings of the IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (pp. 4791–4800). Nashville, TN, United States; Virtual:
IEEE. https://doi.org/10.1109/CVPR46437.2021.00476'
chicago: B R, Mallikarjun, Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel,
Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed Elgharib, and
Christian Theobalt. “Monocular Reconstruction of Neural Face Reflectance Fields.”
In Proceedings of the IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, 4791–4800. IEEE, 2021. https://doi.org/10.1109/CVPR46437.2021.00476.
ieee: M. B R et al., “Monocular reconstruction of neural face reflectance
fields,” in Proceedings of the IEEE Computer Society Conference on Computer
Vision and Pattern Recognition, Nashville, TN, United States; Virtual, 2021,
pp. 4791–4800.
ista: 'B R M, Tewari A, Oh T-H, Weyrich T, Bickel B, Seidel H-P, Pfister H, Matusik
W, Elgharib M, Theobalt C. 2021. Monocular reconstruction of neural face reflectance
fields. Proceedings of the IEEE Computer Society Conference on Computer Vision
and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition,
4791–4800.'
mla: B R, Mallikarjun, et al. “Monocular Reconstruction of Neural Face Reflectance
Fields.” Proceedings of the IEEE Computer Society Conference on Computer Vision
and Pattern Recognition, IEEE, 2021, pp. 4791–800, doi:10.1109/CVPR46437.2021.00476.
short: M. B R, A. Tewari, T.-H. Oh, T. Weyrich, B. Bickel, H.-P. Seidel, H. Pfister,
W. Matusik, M. Elgharib, C. Theobalt, in:, Proceedings of the IEEE Computer Society
Conference on Computer Vision and Pattern Recognition, IEEE, 2021, pp. 4791–4800.
conference:
end_date: 2021-06-25
location: Nashville, TN, United States; Virtual
name: 'CVPR: Conference on Computer Vision and Pattern Recognition'
start_date: 2021-06-20
date_created: 2021-08-24T06:03:00Z
date_published: 2021-09-01T00:00:00Z
date_updated: 2023-08-11T11:08:35Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1109/CVPR46437.2021.00476
external_id:
arxiv:
- '2008.10247'
isi:
- '000739917304096'
file:
- access_level: open_access
checksum: 961db0bde76dd87cf833930080bb9f38
content_type: application/pdf
creator: bbickel
date_created: 2021-08-24T06:02:15Z
date_updated: 2021-08-24T06:02:15Z
file_id: '9958'
file_name: R_Monocular_Reconstruction_of_Neural_Face_Reflectance_Fields_CVPR_2021_paper[1].pdf
file_size: 4746649
relation: main_file
file_date_updated: 2021-08-24T06:02:15Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '09'
oa: 1
oa_version: Preprint
page: 4791-4800
publication: Proceedings of the IEEE Computer Society Conference on Computer Vision
and Pattern Recognition
publication_identifier:
isbn:
- 978-166544509-2
issn:
- 1063-6919
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Monocular reconstruction of neural face reflectance fields
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2021'
...
---
_id: '9547'
abstract:
- lang: eng
text: With the wider availability of full-color 3D printers, color-accurate 3D-print
preparation has received increased attention. A key challenge lies in the inherent
translucency of commonly used print materials that blurs out details of the color
texture. Previous work tries to compensate for these scattering effects through
strategic assignment of colored primary materials to printer voxels. To date,
the highest-quality approach uses iterative optimization that relies on computationally
expensive Monte Carlo light transport simulation to predict the surface appearance
from subsurface scattering within a given print material distribution; that optimization,
however, takes in the order of days on a single machine. In our work, we dramatically
speed up the process by replacing the light transport simulation with a data-driven
approach. Leveraging a deep neural network to predict the scattering within a
highly heterogeneous medium, our method performs around two orders of magnitude
faster than Monte Carlo rendering while yielding optimization results of similar
quality level. The network is based on an established method from atmospheric
cloud rendering, adapted to our domain and extended by a physically motivated
weight sharing scheme that substantially reduces the network size. We analyze
its performance in an end-to-end print preparation pipeline and compare quality
and runtime to alternative approaches, and demonstrate its generalization to unseen
geometry and material values. This for the first time enables full heterogenous
material optimization for 3D-print preparation within time frames in the order
of the actual printing time.
acknowledgement: We thank Sebastian Cucerca for processing and capturing the phys-cal
printouts. This work was supported by the Charles University grant SVV-260588 and
Czech Science Foundation grant 19-07626S. This project has received funding from
the European Union’s Horizon 2020 research and innovation programme, under the Marie
Skłodowska Curie grant agreements No 642841 (DISTRO) and No765911 (RealVision),
and under the European Research Council grant agreement No 715767 (MATERIALIZABLE).
article_processing_charge: No
article_type: original
author:
- first_name: Tobias
full_name: Rittig, Tobias
last_name: Rittig
- first_name: Denis
full_name: Sumin, Denis
last_name: Sumin
- first_name: Vahid
full_name: Babaei, Vahid
last_name: Babaei
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Alexey
full_name: Voloboy, Alexey
last_name: Voloboy
- first_name: Alexander
full_name: Wilkie, Alexander
last_name: Wilkie
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
- first_name: Jaroslav
full_name: Křivánek, Jaroslav
last_name: Křivánek
citation:
ama: Rittig T, Sumin D, Babaei V, et al. Neural acceleration of scattering-aware
color 3D printing. Computer Graphics Forum. 2021;40(2):205-219. doi:10.1111/cgf.142626
apa: Rittig, T., Sumin, D., Babaei, V., Didyk, P., Voloboy, A., Wilkie, A., … Křivánek,
J. (2021). Neural acceleration of scattering-aware color 3D printing. Computer
Graphics Forum. Wiley. https://doi.org/10.1111/cgf.142626
chicago: Rittig, Tobias, Denis Sumin, Vahid Babaei, Piotr Didyk, Alexey Voloboy,
Alexander Wilkie, Bernd Bickel, Karol Myszkowski, Tim Weyrich, and Jaroslav Křivánek.
“Neural Acceleration of Scattering-Aware Color 3D Printing.” Computer Graphics
Forum. Wiley, 2021. https://doi.org/10.1111/cgf.142626.
ieee: T. Rittig et al., “Neural acceleration of scattering-aware color 3D
printing,” Computer Graphics Forum, vol. 40, no. 2. Wiley, pp. 205–219,
2021.
ista: Rittig T, Sumin D, Babaei V, Didyk P, Voloboy A, Wilkie A, Bickel B, Myszkowski
K, Weyrich T, Křivánek J. 2021. Neural acceleration of scattering-aware color
3D printing. Computer Graphics Forum. 40(2), 205–219.
mla: Rittig, Tobias, et al. “Neural Acceleration of Scattering-Aware Color 3D Printing.”
Computer Graphics Forum, vol. 40, no. 2, Wiley, 2021, pp. 205–19, doi:10.1111/cgf.142626.
short: T. Rittig, D. Sumin, V. Babaei, P. Didyk, A. Voloboy, A. Wilkie, B. Bickel,
K. Myszkowski, T. Weyrich, J. Křivánek, Computer Graphics Forum 40 (2021) 205–219.
date_created: 2021-06-13T22:01:32Z
date_published: 2021-05-01T00:00:00Z
date_updated: 2023-08-14T08:01:50Z
day: '01'
ddc:
- '004'
department:
- _id: BeBi
doi: 10.1111/cgf.142626
ec_funded: 1
external_id:
isi:
- '000657959600017'
file:
- access_level: open_access
checksum: 33271724215f54a75c39d2ed40f2c502
content_type: application/pdf
creator: bbickel
date_created: 2021-10-11T12:06:50Z
date_updated: 2021-10-11T12:06:50Z
file_id: '10120'
file_name: ScatteringAwareColor3DPrinting_authorVersion.pdf
file_size: 26026501
relation: main_file
success: 1
file_date_updated: 2021-10-11T12:06:50Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 205-219
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neural acceleration of scattering-aware color 3D printing
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '10574'
abstract:
- lang: eng
text: 'The understanding of material appearance perception is a complex problem
due to interactions between material reflectance, surface geometry, and illumination.
Recently, Serrano et al. collected the largest dataset to date with subjective
ratings of material appearance attributes, including glossiness, metallicness,
sharpness and contrast of reflections. In this work, we make use of their dataset
to investigate for the first time the impact of the interactions between illumination,
geometry, and eight different material categories in perceived appearance attributes.
After an initial analysis, we select for further analysis the four material categories
that cover the largest range for all perceptual attributes: fabric, plastic, ceramic,
and metal. Using a cumulative link mixed model (CLMM) for robust regression, we
discover interactions between these material categories and four representative
illuminations and object geometries. We believe that our findings contribute to
expanding the knowledge on material appearance perception and can be useful for
many applications, such as scene design, where any particular material in a given
shape can be aligned with dominant classes of illumination, so that a desired
strength of appearance attributes can be achieved.'
acknowledgement: This project has received funding from the European Union’s Horizon
2020 research and innovation programme under the Marie Sklodowska-Curie, grant agreement
N∘ 765911 (RealVision) and from the European Research Council (ERC), grant agreement
N∘ 804226 (PERDY). Open Access funding enabled and organized by Projekt DEAL.
article_processing_charge: Yes
article_type: original
author:
- first_name: Bin
full_name: Chen, Bin
last_name: Chen
- first_name: Chao
full_name: Wang, Chao
last_name: Wang
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
orcid: 0000-0002-5062-4474
- first_name: Hans Peter
full_name: Seidel, Hans Peter
last_name: Seidel
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
- first_name: Ana
full_name: Serrano, Ana
last_name: Serrano
citation:
ama: Chen B, Wang C, Piovarci M, et al. The effect of geometry and illumination
on appearance perception of different material categories. Visual Computer.
2021;37(12):2975-2987. doi:10.1007/s00371-021-02227-x
apa: Chen, B., Wang, C., Piovarci, M., Seidel, H. P., Didyk, P., Myszkowski, K.,
& Serrano, A. (2021). The effect of geometry and illumination on appearance
perception of different material categories. Visual Computer. Springer
Nature. https://doi.org/10.1007/s00371-021-02227-x
chicago: Chen, Bin, Chao Wang, Michael Piovarci, Hans Peter Seidel, Piotr Didyk,
Karol Myszkowski, and Ana Serrano. “The Effect of Geometry and Illumination on
Appearance Perception of Different Material Categories.” Visual Computer.
Springer Nature, 2021. https://doi.org/10.1007/s00371-021-02227-x.
ieee: B. Chen et al., “The effect of geometry and illumination on appearance
perception of different material categories,” Visual Computer, vol. 37,
no. 12. Springer Nature, pp. 2975–2987, 2021.
ista: Chen B, Wang C, Piovarci M, Seidel HP, Didyk P, Myszkowski K, Serrano A. 2021.
The effect of geometry and illumination on appearance perception of different
material categories. Visual Computer. 37(12), 2975–2987.
mla: Chen, Bin, et al. “The Effect of Geometry and Illumination on Appearance Perception
of Different Material Categories.” Visual Computer, vol. 37, no. 12, Springer
Nature, 2021, pp. 2975–87, doi:10.1007/s00371-021-02227-x.
short: B. Chen, C. Wang, M. Piovarci, H.P. Seidel, P. Didyk, K. Myszkowski, A. Serrano,
Visual Computer 37 (2021) 2975–2987.
date_created: 2021-12-26T23:01:26Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2023-08-17T06:29:34Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1007/s00371-021-02227-x
external_id:
isi:
- '000673536600003'
file:
- access_level: open_access
checksum: 244cfcac0479ca6e3444c098ab2860a1
content_type: application/pdf
creator: cchlebak
date_created: 2021-12-27T13:51:08Z
date_updated: 2021-12-27T13:51:08Z
file_id: '10578'
file_name: 2021_VisComput_Chen.pdf
file_size: 5741094
relation: main_file
success: 1
file_date_updated: 2021-12-27T13:51:08Z
has_accepted_license: '1'
intvolume: ' 37'
isi: 1
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 2975-2987
publication: Visual Computer
publication_identifier:
eissn:
- 1432-2315
issn:
- 0178-2789
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: The effect of geometry and illumination on appearance perception of different
material categories
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 37
year: '2021'
...
---
_id: '10184'
abstract:
- lang: eng
text: "We introduce a novel technique to automatically decompose an input object’s
volume into a set of parts that can be represented by two opposite height fields.
Such decomposition enables the manufacturing of individual parts using two-piece
reusable rigid molds. Our decomposition strategy relies on a new energy formulation
that utilizes a pre-computed signal on the mesh volume representing the accessibility
for a predefined set of extraction directions. Thanks to this novel formulation,
our method allows for efficient optimization of a fabrication-aware partitioning
of volumes in a completely\r\nautomatic way. We demonstrate the efficacy of our
approach by generating valid volume partitionings for a wide range of complex
objects and physically reproducing several of them."
acknowledgement: 'The authors thank Marco Callieri for all his precious help with
the resin casts. The models used in the paper are courtesy of the Stanford 3D Scanning
Repository, the AIM@SHAPE Shape Repository, and Thingi10K Repository. The research
was partially funded by the European Research Council (ERC) MATERIALIZABLE: Intelligent
fabrication-oriented computational design and modeling (grant no. 715767).'
article_number: '272'
article_processing_charge: No
article_type: original
author:
- first_name: Thomas
full_name: Alderighi, Thomas
last_name: Alderighi
- first_name: Luigi
full_name: Malomo, Luigi
last_name: Malomo
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Paolo
full_name: Cignoni, Paolo
last_name: Cignoni
- first_name: Nico
full_name: Pietroni, Nico
last_name: Pietroni
citation:
ama: Alderighi T, Malomo L, Bickel B, Cignoni P, Pietroni N. Volume decomposition
for two-piece rigid casting. ACM Transactions on Graphics. 2021;40(6).
doi:10.1145/3478513.3480555
apa: Alderighi, T., Malomo, L., Bickel, B., Cignoni, P., & Pietroni, N. (2021).
Volume decomposition for two-piece rigid casting. ACM Transactions on Graphics.
Association for Computing Machinery. https://doi.org/10.1145/3478513.3480555
chicago: Alderighi, Thomas, Luigi Malomo, Bernd Bickel, Paolo Cignoni, and Nico
Pietroni. “Volume Decomposition for Two-Piece Rigid Casting.” ACM Transactions
on Graphics. Association for Computing Machinery, 2021. https://doi.org/10.1145/3478513.3480555.
ieee: T. Alderighi, L. Malomo, B. Bickel, P. Cignoni, and N. Pietroni, “Volume decomposition
for two-piece rigid casting,” ACM Transactions on Graphics, vol. 40, no.
6. Association for Computing Machinery, 2021.
ista: Alderighi T, Malomo L, Bickel B, Cignoni P, Pietroni N. 2021. Volume decomposition
for two-piece rigid casting. ACM Transactions on Graphics. 40(6), 272.
mla: Alderighi, Thomas, et al. “Volume Decomposition for Two-Piece Rigid Casting.”
ACM Transactions on Graphics, vol. 40, no. 6, 272, Association for Computing
Machinery, 2021, doi:10.1145/3478513.3480555.
short: T. Alderighi, L. Malomo, B. Bickel, P. Cignoni, N. Pietroni, ACM Transactions
on Graphics 40 (2021).
date_created: 2021-10-27T07:08:19Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2024-02-28T12:52:48Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3478513.3480555
ec_funded: 1
external_id:
isi:
- '000729846700077'
file:
- access_level: open_access
checksum: 384ece7a9ad1026787ba9560b04336d5
content_type: application/pdf
creator: bbickel
date_created: 2021-10-27T07:08:07Z
date_updated: 2021-10-27T07:08:07Z
file_id: '10185'
file_name: rigidmolds-authorversion.pdf
file_size: 107708317
relation: main_file
file_date_updated: 2021-10-27T07:08:07Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://vcg.isti.cnr.it/Publications/2021/AMBCP21
month: '12'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '1557-7368 '
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Volume decomposition for two-piece rigid casting
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 40
year: '2021'
...
---
_id: '9817'
abstract:
- lang: eng
text: Elastic bending of initially flat slender elements allows the realization
and economic fabrication of intriguing curved shapes. In this work, we derive
an intuitive but rigorous geometric characterization of the design space of plane
elastic rods with variable stiffness. It enables designers to determine which
shapes are physically viable with active bending by visual inspection alone. Building
on these insights, we propose a method for efficiently designing the geometry
of a flat elastic rod that realizes a target equilibrium curve, which only requires
solving a linear program. We implement this method in an interactive computational
design tool that gives feedback about the feasibility of a design, and computes
the geometry of the structural elements necessary to realize it within an instant.
The tool also offers an iterative optimization routine that improves the fabricability
of a model while modifying it as little as possible. In addition, we use our geometric
characterization to derive an algorithm for analyzing and recovering the stability
of elastic curves that would otherwise snap out of their unstable equilibrium
shapes by buckling. We show the efficacy of our approach by designing and manufacturing
several physical models that are assembled from flat elements.
acknowledgement: "We thank the anonymous reviewers for their generous feedback, and
Michal Piovarči for his help in producing the supplemental video. This project has
received funding from the European Research Council (ERC) under the European Union’s
Horizon 2020 research and innovation programme (grant agreement No 715767).\r\n"
article_number: '126'
article_processing_charge: No
article_type: original
author:
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Hafner C, Bickel B. The design space of plane elastic curves. ACM Transactions
on Graphics. 2021;40(4). doi:10.1145/3450626.3459800
apa: 'Hafner, C., & Bickel, B. (2021). The design space of plane elastic curves.
ACM Transactions on Graphics. Virtual: Association for Computing Machinery.
https://doi.org/10.1145/3450626.3459800'
chicago: Hafner, Christian, and Bernd Bickel. “The Design Space of Plane Elastic
Curves.” ACM Transactions on Graphics. Association for Computing Machinery,
2021. https://doi.org/10.1145/3450626.3459800.
ieee: C. Hafner and B. Bickel, “The design space of plane elastic curves,” ACM
Transactions on Graphics, vol. 40, no. 4. Association for Computing Machinery,
2021.
ista: Hafner C, Bickel B. 2021. The design space of plane elastic curves. ACM Transactions
on Graphics. 40(4), 126.
mla: Hafner, Christian, and Bernd Bickel. “The Design Space of Plane Elastic Curves.”
ACM Transactions on Graphics, vol. 40, no. 4, 126, Association for Computing
Machinery, 2021, doi:10.1145/3450626.3459800.
short: C. Hafner, B. Bickel, ACM Transactions on Graphics 40 (2021).
conference:
end_date: 2021-08-13
location: Virtual
name: 'SIGGRAF: Special Interest Group on Computer Graphics and Interactive Techniques'
start_date: 2021-08-09
date_created: 2021-08-08T22:01:26Z
date_published: 2021-07-19T00:00:00Z
date_updated: 2024-03-28T23:30:47Z
day: '19'
ddc:
- '516'
department:
- _id: BeBi
doi: 10.1145/3450626.3459800
ec_funded: 1
external_id:
isi:
- '000674930900091'
file:
- access_level: open_access
checksum: 7e5d08ce46b0451b3102eacd3d00f85f
content_type: application/pdf
creator: chafner
date_created: 2021-10-18T10:42:15Z
date_updated: 2021-10-18T10:42:15Z
file_id: '10150'
file_name: elastic-curves-paper.pdf
file_size: 17064290
relation: main_file
success: 1
- access_level: open_access
checksum: 0088643478be7c01a703b5b10767348f
content_type: application/pdf
creator: chafner
date_created: 2021-10-18T10:42:22Z
date_updated: 2021-10-18T10:42:22Z
file_id: '10151'
file_name: elastic-curves-supp.pdf
file_size: 547156
relation: supplementary_material
file_date_updated: 2021-10-18T10:42:22Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '4'
keyword:
- Computing methodologies
- shape modeling
- modeling and simulation
- theory of computation
- computational geometry
- mathematics of computing
- mathematical optimization
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on IST Website
relation: press_release
url: https://ist.ac.at/en/news/designing-with-elastic-structures/
record:
- id: '12897'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: The design space of plane elastic curves
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '9208'
abstract:
- lang: eng
text: 'Bending-active structures are able to efficiently produce complex curved
shapes from flat panels. The desired deformation of the panels derives from the
proper selection of their elastic properties. Optimized panels, called FlexMaps,
are designed such that, once they are bent and assembled, the resulting static
equilibrium configuration matches a desired input 3D shape. The FlexMaps elastic
properties are controlled by locally varying spiraling geometric mesostructures,
which are optimized in size and shape to match specific bending requests, namely
the global curvature of the target shape. The design pipeline starts from a quad
mesh representing the input 3D shape, which defines the edge size and the total
amount of spirals: every quad will embed one spiral. Then, an optimization algorithm
tunes the geometry of the spirals by using a simplified pre-computed rod model.
This rod model is derived from a non-linear regression algorithm which approximates
the non-linear behavior of solid FEM spiral models subject to hundreds of load
combinations. This innovative pipeline has been applied to the project of a lightweight
plywood pavilion named FlexMaps Pavilion, which is a single-layer piecewise twisted
arch that fits a bounding box of 3.90x3.96x3.25 meters. This case study serves
to test the applicability of this methodology at the architectural scale. The
structure is validated via FE analyses and the fabrication of the full scale prototype.'
acknowledgement: 'The FlexMaps Pavilion has been awarded First Prize at the “Competition
and Exhibition of innovative lightweight structures” organized by the IASS Working
Group 21 within the FORM and FORCE, joint international conference of IASS Symposium
2019 and Structural Membranes 2019 (Barcelona, 7-11 October 2019) with the following
motivation: “for its structural innovation of bending-twisting system, connection
constructability and exquisite craftmanship”[20]. The authors would like to acknowledge
the Visual Computing Lab Staff of ISTI - CNR, in particular Thomas Alderighi, Marco
Callieri, Paolo Pingi; Antonio Rizzo of IPCF - CNR; and the Administrative Staff
of ISTI - CNR. This research was partially funded by the EU H2020 Programme EVOCATION:
Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication
(grant no. 813170).'
article_number: '1505'
article_processing_charge: No
article_type: original
author:
- first_name: Francesco
full_name: Laccone, Francesco
last_name: Laccone
- first_name: Luigi
full_name: Malomo, Luigi
last_name: Malomo
- first_name: Jesus
full_name: Perez Rodriguez, Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- first_name: Nico
full_name: Pietroni, Nico
last_name: Pietroni
- first_name: Federico
full_name: Ponchio, Federico
last_name: Ponchio
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Paolo
full_name: Cignoni, Paolo
last_name: Cignoni
citation:
ama: 'Laccone F, Malomo L, Perez Rodriguez J, et al. A bending-active twisted-arch
plywood structure: Computational design and fabrication of the FlexMaps Pavilion.
SN Applied Sciences. 2020;2(9). doi:10.1007/s42452-020-03305-w'
apa: 'Laccone, F., Malomo, L., Perez Rodriguez, J., Pietroni, N., Ponchio, F., Bickel,
B., & Cignoni, P. (2020). A bending-active twisted-arch plywood structure:
Computational design and fabrication of the FlexMaps Pavilion. SN Applied Sciences.
Springer Nature. https://doi.org/10.1007/s42452-020-03305-w'
chicago: 'Laccone, Francesco, Luigi Malomo, Jesus Perez Rodriguez, Nico Pietroni,
Federico Ponchio, Bernd Bickel, and Paolo Cignoni. “A Bending-Active Twisted-Arch
Plywood Structure: Computational Design and Fabrication of the FlexMaps Pavilion.”
SN Applied Sciences. Springer Nature, 2020. https://doi.org/10.1007/s42452-020-03305-w.'
ieee: 'F. Laccone et al., “A bending-active twisted-arch plywood structure:
Computational design and fabrication of the FlexMaps Pavilion,” SN Applied
Sciences, vol. 2, no. 9. Springer Nature, 2020.'
ista: 'Laccone F, Malomo L, Perez Rodriguez J, Pietroni N, Ponchio F, Bickel B,
Cignoni P. 2020. A bending-active twisted-arch plywood structure: Computational
design and fabrication of the FlexMaps Pavilion. SN Applied Sciences. 2(9), 1505.'
mla: 'Laccone, Francesco, et al. “A Bending-Active Twisted-Arch Plywood Structure:
Computational Design and Fabrication of the FlexMaps Pavilion.” SN Applied
Sciences, vol. 2, no. 9, 1505, Springer Nature, 2020, doi:10.1007/s42452-020-03305-w.'
short: F. Laccone, L. Malomo, J. Perez Rodriguez, N. Pietroni, F. Ponchio, B. Bickel,
P. Cignoni, SN Applied Sciences 2 (2020).
date_created: 2021-02-28T23:01:25Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2021-03-03T09:43:14Z
day: '01'
department:
- _id: BeBi
doi: 10.1007/s42452-020-03305-w
intvolume: ' 2'
issue: '9'
language:
- iso: eng
month: '09'
oa_version: None
publication: SN Applied Sciences
publication_identifier:
eissn:
- '25233971'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'A bending-active twisted-arch plywood structure: Computational design and
fabrication of the FlexMaps Pavilion'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2
year: '2020'
...
---
_id: '7220'
abstract:
- lang: eng
text: BACKGROUND:The introduction of image-guided methods to bypass surgery has
resulted in optimized preoperative identification of the recipients and excellent
patency rates. However, the recently presented methods have also been resource-consuming.
In the present study, we have reported a cost-efficient planning workflow for
extracranial-intracranial (EC-IC) revascularization combined with transdural indocyanine
green videoangiography (tICG-VA). METHODS:We performed a retrospective review
at a single tertiary referral center from 2011 to 2018. A novel software-derived
workflow was applied for 25 of 92 bypass procedures during the study period. The
precision and accuracy were assessed using tICG-VA identification of the cortical
recipients and a comparison of the virtual and actual data. The data from a control
group of 25 traditionally planned procedures were also matched. RESULTS:The intraoperative
transfer time of the calculated coordinates averaged 0.8 minute (range, 0.4-1.9
minutes). The definitive recipients matched the targeted branches in 80%, and
a neighboring branch was used in 16%. Our workflow led to a significant craniotomy
size reduction in the study group compared with that in the control group (P =
0.005). tICG-VA was successfully applied in 19 cases. An average of 2 potential
recipient arteries were identified transdurally, resulting in tailored durotomy
and 3 craniotomy adjustments. Follow-up patency results were available for 49
bypass surgeries, comprising 54 grafts. The overall patency rate was 91% at a
median follow-up period of 26 months. No significant difference was found in the
patency rate between the study and control groups (P = 0.317). CONCLUSIONS:Our
clinical results have validated the presented planning and surgical workflow and
support the routine implementation of tICG-VA for recipient identification before
durotomy.
article_processing_charge: No
article_type: original
author:
- first_name: Philippe
full_name: Dodier, Philippe
last_name: Dodier
- first_name: Thomas
full_name: Auzinger, Thomas
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Gabriel
full_name: Mistelbauer, Gabriel
last_name: Mistelbauer
- first_name: Wei Te
full_name: Wang, Wei Te
last_name: Wang
- first_name: Heber
full_name: Ferraz-Leite, Heber
last_name: Ferraz-Leite
- first_name: Andreas
full_name: Gruber, Andreas
last_name: Gruber
- first_name: Wolfgang
full_name: Marik, Wolfgang
last_name: Marik
- first_name: Fabian
full_name: Winter, Fabian
last_name: Winter
- first_name: Gerrit
full_name: Fischer, Gerrit
last_name: Fischer
- first_name: Josa M.
full_name: Frischer, Josa M.
last_name: Frischer
- first_name: Gerhard
full_name: Bavinzski, Gerhard
last_name: Bavinzski
citation:
ama: Dodier P, Auzinger T, Mistelbauer G, et al. Novel software-derived workflow
in extracranial–intracranial bypass surgery validated by transdural indocyanine
green videoangiography. World Neurosurgery. 2020;134(2):e892-e902. doi:10.1016/j.wneu.2019.11.038
apa: Dodier, P., Auzinger, T., Mistelbauer, G., Wang, W. T., Ferraz-Leite, H., Gruber,
A., … Bavinzski, G. (2020). Novel software-derived workflow in extracranial–intracranial
bypass surgery validated by transdural indocyanine green videoangiography. World
Neurosurgery. Elsevier. https://doi.org/10.1016/j.wneu.2019.11.038
chicago: Dodier, Philippe, Thomas Auzinger, Gabriel Mistelbauer, Wei Te Wang, Heber
Ferraz-Leite, Andreas Gruber, Wolfgang Marik, et al. “Novel Software-Derived Workflow
in Extracranial–Intracranial Bypass Surgery Validated by Transdural Indocyanine
Green Videoangiography.” World Neurosurgery. Elsevier, 2020. https://doi.org/10.1016/j.wneu.2019.11.038.
ieee: P. Dodier et al., “Novel software-derived workflow in extracranial–intracranial
bypass surgery validated by transdural indocyanine green videoangiography,” World
Neurosurgery, vol. 134, no. 2. Elsevier, pp. e892–e902, 2020.
ista: Dodier P, Auzinger T, Mistelbauer G, Wang WT, Ferraz-Leite H, Gruber A, Marik
W, Winter F, Fischer G, Frischer JM, Bavinzski G. 2020. Novel software-derived
workflow in extracranial–intracranial bypass surgery validated by transdural indocyanine
green videoangiography. World Neurosurgery. 134(2), e892–e902.
mla: Dodier, Philippe, et al. “Novel Software-Derived Workflow in Extracranial–Intracranial
Bypass Surgery Validated by Transdural Indocyanine Green Videoangiography.” World
Neurosurgery, vol. 134, no. 2, Elsevier, 2020, pp. e892–902, doi:10.1016/j.wneu.2019.11.038.
short: P. Dodier, T. Auzinger, G. Mistelbauer, W.T. Wang, H. Ferraz-Leite, A. Gruber,
W. Marik, F. Winter, G. Fischer, J.M. Frischer, G. Bavinzski, World Neurosurgery
134 (2020) e892–e902.
date_created: 2019-12-29T23:00:48Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-08-17T14:14:23Z
day: '01'
department:
- _id: BeBi
doi: 10.1016/j.wneu.2019.11.038
external_id:
isi:
- '000512878200104'
pmid:
- '31733380'
intvolume: ' 134'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa_version: None
page: e892-e902
pmid: 1
publication: World Neurosurgery
publication_identifier:
eissn:
- 1878-8769
issn:
- 1878-8750
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Novel software-derived workflow in extracranial–intracranial bypass surgery
validated by transdural indocyanine green videoangiography
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 134
year: '2020'
...
---
_id: '7218'
abstract:
- lang: eng
text: The combined resection of skull-infiltrating tumours and immediate cranioplastic
reconstruction predominantly relies on freehand-moulded solutions. Techniques
that enable this procedure to be performed easily in routine clinical practice
would be useful. A cadaveric study was developed in which a new software tool
was used to perform single-stage reconstructions with prefabricated implants after
the resection of skull-infiltrating pathologies. A novel 3D visualization and
interaction framework was developed to create 10 virtual craniotomies in five
cadaveric specimens. Polyether ether ketone (PEEK) implants were manufactured
according to the bone defects. The image-guided craniotomy was reconstructed with
PEEK and compared to polymethyl methacrylate (PMMA). Navigational accuracy and
surgical precision were assessed. The PEEK workflow resulted in up to 10-fold
shorter reconstruction times than the standard technique. Surgical precision was
reflected by the mean 1.1 ± 0.29 mm distance between the virtual and real craniotomy,
with submillimetre precision in 50%. Assessment of the global offset between virtual
and actual craniotomy revealed an average shift of 4.5 ± 3.6 mm. The results validated
the ‘elective single-stage cranioplasty’ technique as a state-of-the-art virtual
planning method and surgical workflow. This patient-tailored workflow could significantly
reduce surgical times compared to the traditional, intraoperative acrylic moulding
method and may be an option for the reconstruction of bone defects in the craniofacial
region.
article_processing_charge: No
article_type: original
author:
- first_name: Philippe
full_name: Dodier, Philippe
last_name: Dodier
- first_name: Fabian
full_name: Winter, Fabian
last_name: Winter
- first_name: Thomas
full_name: Auzinger, Thomas
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Gabriel
full_name: Mistelbauer, Gabriel
last_name: Mistelbauer
- first_name: Josa M.
full_name: Frischer, Josa M.
last_name: Frischer
- first_name: Wei Te
full_name: Wang, Wei Te
last_name: Wang
- first_name: Ammar
full_name: Mallouhi, Ammar
last_name: Mallouhi
- first_name: Wolfgang
full_name: Marik, Wolfgang
last_name: Marik
- first_name: Stefan
full_name: Wolfsberger, Stefan
last_name: Wolfsberger
- first_name: Lukas
full_name: Reissig, Lukas
last_name: Reissig
- first_name: Firas
full_name: Hammadi, Firas
last_name: Hammadi
- first_name: Christian
full_name: Matula, Christian
last_name: Matula
- first_name: Arnulf
full_name: Baumann, Arnulf
last_name: Baumann
- first_name: Gerhard
full_name: Bavinzski, Gerhard
last_name: Bavinzski
citation:
ama: 'Dodier P, Winter F, Auzinger T, et al. Single-stage bone resection and cranioplastic
reconstruction: Comparison of a novel software-derived PEEK workflow with the
standard reconstructive method. International Journal of Oral and Maxillofacial
Surgery. 2020;49(8):P1007-1015. doi:10.1016/j.ijom.2019.11.011'
apa: 'Dodier, P., Winter, F., Auzinger, T., Mistelbauer, G., Frischer, J. M., Wang,
W. T., … Bavinzski, G. (2020). Single-stage bone resection and cranioplastic reconstruction:
Comparison of a novel software-derived PEEK workflow with the standard reconstructive
method. International Journal of Oral and Maxillofacial Surgery. Elsevier.
https://doi.org/10.1016/j.ijom.2019.11.011'
chicago: 'Dodier, Philippe, Fabian Winter, Thomas Auzinger, Gabriel Mistelbauer,
Josa M. Frischer, Wei Te Wang, Ammar Mallouhi, et al. “Single-Stage Bone Resection
and Cranioplastic Reconstruction: Comparison of a Novel Software-Derived PEEK
Workflow with the Standard Reconstructive Method.” International Journal of
Oral and Maxillofacial Surgery. Elsevier, 2020. https://doi.org/10.1016/j.ijom.2019.11.011.'
ieee: 'P. Dodier et al., “Single-stage bone resection and cranioplastic reconstruction:
Comparison of a novel software-derived PEEK workflow with the standard reconstructive
method,” International Journal of Oral and Maxillofacial Surgery, vol.
49, no. 8. Elsevier, pp. P1007-1015, 2020.'
ista: 'Dodier P, Winter F, Auzinger T, Mistelbauer G, Frischer JM, Wang WT, Mallouhi
A, Marik W, Wolfsberger S, Reissig L, Hammadi F, Matula C, Baumann A, Bavinzski
G. 2020. Single-stage bone resection and cranioplastic reconstruction: Comparison
of a novel software-derived PEEK workflow with the standard reconstructive method.
International Journal of Oral and Maxillofacial Surgery. 49(8), P1007-1015.'
mla: 'Dodier, Philippe, et al. “Single-Stage Bone Resection and Cranioplastic Reconstruction:
Comparison of a Novel Software-Derived PEEK Workflow with the Standard Reconstructive
Method.” International Journal of Oral and Maxillofacial Surgery, vol.
49, no. 8, Elsevier, 2020, pp. P1007-1015, doi:10.1016/j.ijom.2019.11.011.'
short: P. Dodier, F. Winter, T. Auzinger, G. Mistelbauer, J.M. Frischer, W.T. Wang,
A. Mallouhi, W. Marik, S. Wolfsberger, L. Reissig, F. Hammadi, C. Matula, A. Baumann,
G. Bavinzski, International Journal of Oral and Maxillofacial Surgery 49 (2020)
P1007-1015.
date_created: 2019-12-29T23:00:47Z
date_published: 2020-08-01T00:00:00Z
date_updated: 2023-08-17T14:15:22Z
day: '01'
department:
- _id: BeBi
doi: 10.1016/j.ijom.2019.11.011
external_id:
isi:
- '000556819800005'
pmid:
- '31866145'
intvolume: ' 49'
isi: 1
issue: '8'
language:
- iso: eng
month: '08'
oa_version: None
page: P1007-1015
pmid: 1
publication: International Journal of Oral and Maxillofacial Surgery
publication_identifier:
eissn:
- 1399-0020
issn:
- 0901-5027
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Single-stage bone resection and cranioplastic reconstruction: Comparison of
a novel software-derived PEEK workflow with the standard reconstructive method'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 49
year: '2020'
...
---
_id: '8386'
abstract:
- lang: eng
text: "Form versus function is a long-standing debate in various design-related
fields, such as architecture as well as graphic and industrial design. A good
design that balances form and function often requires considerable human effort
and collaboration among experts from different professional fields. Computational
design tools provide a new paradigm for designing functional objects. In computational
design, form and function are represented as mathematical\r\nquantities, with
the help of numerical and combinatorial algorithms, they can assist even novice
users in designing versatile models that exhibit their desired functionality.
This thesis presents three disparate research studies on the computational design
of functional objects: The appearance of 3d print—we optimize the volumetric material
distribution for faithfully replicating colored surface texture in 3d printing;
the dynamic motion of mechanical structures—\r\nour design system helps the novice
user to retarget various mechanical templates with different functionality to
complex 3d shapes; and a more abstract functionality, multistability—our algorithm
automatically generates models that exhibit multiple stable target poses. For
each of these cases, our computational design tools not only ensure the functionality
of the results but also permit the user aesthetic freedom over the form. Moreover,
fabrication constraints\r\nwere taken into account, which allow for the immediate
creation of physical realization via 3D printing or laser cutting."
acknowledged_ssus:
- _id: SSU
acknowledgement: The research in this thesis has received funding from the European
Union’s Horizon 2020 research and innovation programme, under the Marie Skłodowska-Curie
grant agreement No 642841 (DISTRO) and the European Research Council grant agreement
No 715767 (MATERIALIZABLE). All the research projects in this thesis were also supported
by Scientific Service Units (SSUs) at IST Austria.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
citation:
ama: Zhang R. Structure-aware computational design and its application to 3D printable
volume scattering, mechanism, and multistability. 2020. doi:10.15479/AT:ISTA:8386
apa: Zhang, R. (2020). Structure-aware computational design and its application
to 3D printable volume scattering, mechanism, and multistability. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8386
chicago: Zhang, Ran. “Structure-Aware Computational Design and Its Application to
3D Printable Volume Scattering, Mechanism, and Multistability.” Institute of Science
and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8386.
ieee: R. Zhang, “Structure-aware computational design and its application to 3D
printable volume scattering, mechanism, and multistability,” Institute of Science
and Technology Austria, 2020.
ista: Zhang R. 2020. Structure-aware computational design and its application to
3D printable volume scattering, mechanism, and multistability. Institute of Science
and Technology Austria.
mla: Zhang, Ran. Structure-Aware Computational Design and Its Application to
3D Printable Volume Scattering, Mechanism, and Multistability. Institute of
Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8386.
short: R. Zhang, Structure-Aware Computational Design and Its Application to 3D
Printable Volume Scattering, Mechanism, and Multistability, Institute of Science
and Technology Austria, 2020.
date_created: 2020-09-14T01:04:53Z
date_published: 2020-09-14T00:00:00Z
date_updated: 2023-09-22T09:49:31Z
day: '14'
ddc:
- '003'
degree_awarded: PhD
department:
- _id: BeBi
doi: 10.15479/AT:ISTA:8386
ec_funded: 1
file:
- access_level: closed
checksum: edcf578b6e1c9b0dd81ff72d319b66ba
content_type: application/x-zip-compressed
creator: rzhang
date_created: 2020-09-14T01:02:59Z
date_updated: 2020-09-14T12:18:43Z
file_id: '8388'
file_name: Thesis_Ran.zip
file_size: 1245800191
relation: source_file
- access_level: open_access
checksum: 817e20c33be9247f906925517c56a40d
content_type: application/pdf
creator: rzhang
date_created: 2020-09-15T12:51:53Z
date_updated: 2020-09-15T12:51:53Z
file_id: '8396'
file_name: PhD_thesis_Ran Zhang_20200915.pdf
file_size: 161385316
relation: main_file
success: 1
file_date_updated: 2020-09-15T12:51:53Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '148'
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '486'
relation: part_of_dissertation
status: public
- id: '1002'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
title: Structure-aware computational design and its application to 3D printable volume
scattering, mechanism, and multistability
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8366'
abstract:
- lang: eng
text: "Fabrication of curved shells plays an important role in modern design, industry,
and science. Among their remarkable properties are, for example, aesthetics of
organic shapes, ability to evenly distribute loads, or efficient flow separation.
They find applications across vast length scales ranging from sky-scraper architecture
to microscopic devices. But, at\r\nthe same time, the design of curved shells
and their manufacturing process pose a variety of challenges. In this thesis,
they are addressed from several perspectives. In particular, this thesis presents
approaches based on the transformation of initially flat sheets into the target
curved surfaces. This involves problems of interactive design of shells with nontrivial
mechanical constraints, inverse design of complex structural materials, and data-driven
modeling of delicate and time-dependent physical properties. At the same time,
two newly-developed self-morphing mechanisms targeting flat-to-curved transformation
are presented.\r\nIn architecture, doubly curved surfaces can be realized as cold
bent glass panelizations. Originally flat glass panels are bent into frames and
remain stressed. This is a cost-efficient fabrication approach compared to hot
bending, when glass panels are shaped plastically. However such constructions
are prone to breaking during bending, and it is highly\r\nnontrivial to navigate
the design space, keeping the panels fabricable and aesthetically pleasing at
the same time. We introduce an interactive design system for cold bent glass façades,
while previously even offline optimization for such scenarios has not been sufficiently
developed. Our method is based on a deep learning approach providing quick\r\nand
high precision estimation of glass panel shape and stress while handling the shape\r\nmultimodality.\r\nFabrication
of smaller objects of scales below 1 m, can also greatly benefit from shaping
originally flat sheets. In this respect, we designed new self-morphing shell mechanisms
transforming from an initial flat state to a doubly curved state with high precision
and detail. Our so-called CurveUps demonstrate the encodement of the geometric
information\r\ninto the shell. Furthermore, we explored the frontiers of programmable
materials and showed how temporal information can additionally be encoded into
a flat shell. This allows prescribing deformation sequences for doubly curved
surfaces and, thus, facilitates self-collision avoidance enabling complex shapes
and functionalities otherwise impossible.\r\nBoth of these methods include inverse
design tools keeping the user in the design loop."
acknowledged_ssus:
- _id: M-Shop
- _id: ScienComp
acknowledgement: "During the work on this thesis, I received substantial support from
IST Austria’s scientific service units. A big thank you to Todor Asenov and other
Miba Machine Shop team members for their help with fabrication of experimental prototypes.
In addition, I would like to thank Scientific Computing team for the support with
high performance computing.\r\nFinancial support was provided by the European Research
Council (ERC) under grant agreement No 715767 - MATERIALIZABLE: Intelligent fabrication-oriented
Computational Design and Modeling, which I gratefully acknowledge."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
citation:
ama: 'Guseinov R. Computational design of curved thin shells: From glass façades
to programmable matter. 2020. doi:10.15479/AT:ISTA:8366'
apa: 'Guseinov, R. (2020). Computational design of curved thin shells: From glass
façades to programmable matter. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:8366'
chicago: 'Guseinov, Ruslan. “Computational Design of Curved Thin Shells: From Glass
Façades to Programmable Matter.” Institute of Science and Technology Austria,
2020. https://doi.org/10.15479/AT:ISTA:8366.'
ieee: 'R. Guseinov, “Computational design of curved thin shells: From glass façades
to programmable matter,” Institute of Science and Technology Austria, 2020.'
ista: 'Guseinov R. 2020. Computational design of curved thin shells: From glass
façades to programmable matter. Institute of Science and Technology Austria.'
mla: 'Guseinov, Ruslan. Computational Design of Curved Thin Shells: From Glass
Façades to Programmable Matter. Institute of Science and Technology Austria,
2020, doi:10.15479/AT:ISTA:8366.'
short: 'R. Guseinov, Computational Design of Curved Thin Shells: From Glass Façades
to Programmable Matter, Institute of Science and Technology Austria, 2020.'
date_created: 2020-09-10T16:19:55Z
date_published: 2020-09-21T00:00:00Z
date_updated: 2024-02-21T12:44:29Z
day: '21'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: BeBi
doi: 10.15479/AT:ISTA:8366
ec_funded: 1
file:
- access_level: open_access
checksum: f8da89553da36037296b0a80f14ebf50
content_type: application/pdf
creator: rguseino
date_created: 2020-09-10T16:11:49Z
date_updated: 2020-09-10T16:11:49Z
file_id: '8367'
file_name: thesis_rguseinov.pdf
file_size: 70950442
relation: main_file
success: 1
- access_level: closed
checksum: e8fd944c960c20e0e27e6548af69121d
content_type: application/x-zip-compressed
creator: rguseino
date_created: 2020-09-11T09:39:48Z
date_updated: 2020-09-16T15:11:01Z
file_id: '8374'
file_name: thesis_source.zip
file_size: 76207597
relation: source_file
file_date_updated: 2020-09-16T15:11:01Z
has_accepted_license: '1'
keyword:
- computer-aided design
- shape modeling
- self-morphing
- mechanical engineering
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '118'
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication_identifier:
isbn:
- 978-3-99078-010-7
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7151'
relation: research_data
status: deleted
- id: '7262'
relation: part_of_dissertation
status: public
- id: '8562'
relation: part_of_dissertation
status: public
- id: '1001'
relation: part_of_dissertation
status: public
- id: '8375'
relation: research_data
status: public
status: public
supervisor:
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
title: 'Computational design of curved thin shells: From glass façades to programmable
matter'
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8562'
abstract:
- lang: eng
text: "Cold bent glass is a promising and cost-efficient method for realizing doubly
curved glass facades. They are produced by attaching planar glass sheets to curved
frames and require keeping the occurring stress within safe limits.\r\nHowever,
it is very challenging to navigate the design space of cold bent glass panels
due to the fragility of the material, which impedes the form-finding for practically
feasible and aesthetically pleasing cold bent glass facades. We propose an interactive,
data-driven approach for designing cold bent glass facades that can be seamlessly
integrated into a typical architectural design pipeline. Our method allows non-expert
users to interactively edit a parametric surface while providing real-time feedback
on the deformed shape and maximum stress of cold bent glass panels. Designs are
automatically refined to minimize several fairness criteria while maximal stresses
are kept within glass limits. We achieve interactive frame rates by using a differentiable
Mixture Density Network trained from more than a million simulations. Given a
curved boundary, our regression model is capable of handling multistable\r\nconfigurations
and accurately predicting the equilibrium shape of the panel and its corresponding
maximal stress. We show predictions are highly accurate and validate our results
with a physical realization of a cold bent glass surface."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We thank IST Austria’s Scientific Computing team for their support,
Corinna Datsiou and Sophie Pennetier for their expert input on the practical applications
of cold bent glass, and Zaha Hadid Architects and Waagner Biro for providing the
architectural datasets. Photo of Fondation Louis Vuitton by Francisco Anzola / CC
BY 2.0 / cropped.\r\nPhoto of Opus by Danica O. Kus. This project has received funding
from the European Union’s\r\nHorizon 2020 research and innovation program under
grant agreement No 675789 - Algebraic Representations in Computer-Aided Design for
complEx Shapes (ARCADES), from the European Research Council (ERC) under grant agreement
No 715767 - MATERIALIZABLE: Intelligent fabrication-oriented Computational Design
and Modeling, and SFB-Transregio “Discretization in Geometry and Dynamics” through
grant I 2978 of the Austrian Science Fund (FWF). F. Rist and K. Gavriil have been
partially supported by KAUST baseline funding."
article_number: '208'
article_processing_charge: No
article_type: original
author:
- first_name: Konstantinos
full_name: Gavriil, Konstantinos
last_name: Gavriil
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- first_name: Jesus
full_name: Perez Rodriguez, Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- first_name: Davide
full_name: Pellis, Davide
last_name: Pellis
- first_name: Paul M
full_name: Henderson, Paul M
id: 13C09E74-18D9-11E9-8878-32CFE5697425
last_name: Henderson
orcid: 0000-0002-5198-7445
- first_name: Florian
full_name: Rist, Florian
last_name: Rist
- first_name: Helmut
full_name: Pottmann, Helmut
last_name: Pottmann
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Gavriil K, Guseinov R, Perez Rodriguez J, et al. Computational design of cold
bent glass façades. ACM Transactions on Graphics. 2020;39(6). doi:10.1145/3414685.3417843
apa: Gavriil, K., Guseinov, R., Perez Rodriguez, J., Pellis, D., Henderson, P. M.,
Rist, F., … Bickel, B. (2020). Computational design of cold bent glass façades.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3414685.3417843
chicago: Gavriil, Konstantinos, Ruslan Guseinov, Jesus Perez Rodriguez, Davide Pellis,
Paul M Henderson, Florian Rist, Helmut Pottmann, and Bernd Bickel. “Computational
Design of Cold Bent Glass Façades.” ACM Transactions on Graphics. Association
for Computing Machinery, 2020. https://doi.org/10.1145/3414685.3417843.
ieee: K. Gavriil et al., “Computational design of cold bent glass façades,”
ACM Transactions on Graphics, vol. 39, no. 6. Association for Computing
Machinery, 2020.
ista: Gavriil K, Guseinov R, Perez Rodriguez J, Pellis D, Henderson PM, Rist F,
Pottmann H, Bickel B. 2020. Computational design of cold bent glass façades. ACM
Transactions on Graphics. 39(6), 208.
mla: Gavriil, Konstantinos, et al. “Computational Design of Cold Bent Glass Façades.”
ACM Transactions on Graphics, vol. 39, no. 6, 208, Association for Computing
Machinery, 2020, doi:10.1145/3414685.3417843.
short: K. Gavriil, R. Guseinov, J. Perez Rodriguez, D. Pellis, P.M. Henderson, F.
Rist, H. Pottmann, B. Bickel, ACM Transactions on Graphics 39 (2020).
date_created: 2020-09-23T11:30:02Z
date_published: 2020-11-26T00:00:00Z
date_updated: 2024-02-21T12:43:21Z
day: '26'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3414685.3417843
ec_funded: 1
external_id:
arxiv:
- '2009.03667'
isi:
- '000595589100048'
file:
- access_level: open_access
checksum: c7f67717ad74e670b7daeae732abe151
content_type: application/pdf
creator: bbickel
date_created: 2023-05-23T20:54:43Z
date_updated: 2023-05-23T20:54:43Z
file_id: '13084'
file_name: coldglass.pdf
file_size: 28964641
relation: main_file
success: 1
file_date_updated: 2023-05-23T20:54:43Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '6'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/bend-dont-break/
record:
- id: '8366'
relation: dissertation_contains
status: public
- id: '8761'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Computational design of cold bent glass façades
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 39
year: '2020'
...
---
_id: '8375'
abstract:
- lang: eng
text: 'Supplementary movies showing the following sequences for spatio-temporarily
programmed shells: input geometry and actuation time landscape; comparison of
morphing processes from a camera recording and a simulation; final actuated shape.'
article_processing_charge: No
author:
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
citation:
ama: 'Guseinov R. Supplementary data for “Computational design of curved thin shells:
from glass façades to programmable matter.” 2020. doi:10.15479/AT:ISTA:8375'
apa: 'Guseinov, R. (2020). Supplementary data for “Computational design of curved
thin shells: from glass façades to programmable matter.” Institute of Science
and Technology Austria. https://doi.org/10.15479/AT:ISTA:8375'
chicago: 'Guseinov, Ruslan. “Supplementary Data for ‘Computational Design of Curved
Thin Shells: From Glass Façades to Programmable Matter.’” Institute of Science
and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8375.'
ieee: 'R. Guseinov, “Supplementary data for ‘Computational design of curved thin
shells: from glass façades to programmable matter.’” Institute of Science and
Technology Austria, 2020.'
ista: 'Guseinov R. 2020. Supplementary data for ‘Computational design of curved
thin shells: from glass façades to programmable matter’, Institute of Science
and Technology Austria, 10.15479/AT:ISTA:8375.'
mla: 'Guseinov, Ruslan. Supplementary Data for “Computational Design of Curved
Thin Shells: From Glass Façades to Programmable Matter.” Institute of Science
and Technology Austria, 2020, doi:10.15479/AT:ISTA:8375.'
short: R. Guseinov, (2020).
contributor:
- contributor_type: researcher
first_name: Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- contributor_type: researcher
first_name: Connor
last_name: McMahan
- contributor_type: researcher
first_name: Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- contributor_type: researcher
first_name: Chiara
last_name: Daraio
- contributor_type: researcher
first_name: Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
date_created: 2020-09-11T09:52:54Z
date_published: 2020-09-21T00:00:00Z
date_updated: 2024-02-21T12:44:29Z
day: '21'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.15479/AT:ISTA:8375
ec_funded: 1
file:
- access_level: open_access
checksum: 4029ffd65fb82ef2366b2fc2a4908e16
content_type: video/mp4
creator: rguseino
date_created: 2020-09-11T09:45:21Z
date_updated: 2020-09-11T09:45:21Z
file_id: '8376'
file_name: supplementary_movie_1.mp4
file_size: 29214988
relation: main_file
success: 1
- access_level: open_access
checksum: 8ed03b04d80f1a4e622cb22e6100afd8
content_type: video/mp4
creator: rguseino
date_created: 2020-09-11T09:45:25Z
date_updated: 2020-09-11T09:45:25Z
file_id: '8377'
file_name: supplementary_movie_2.mp4
file_size: 28449475
relation: main_file
success: 1
- access_level: open_access
checksum: ad6864afb5e694e5c52a88fba4e02eea
content_type: video/mp4
creator: rguseino
date_created: 2020-09-11T09:45:28Z
date_updated: 2020-09-11T09:45:28Z
file_id: '8378'
file_name: supplementary_movie_3.mp4
file_size: 26315853
relation: main_file
success: 1
- access_level: open_access
checksum: b079cef7871fe1afb69af0e2b099f3b1
content_type: video/mp4
creator: rguseino
date_created: 2020-09-11T09:45:33Z
date_updated: 2020-09-11T09:45:33Z
file_id: '8379'
file_name: supplementary_movie_4.mp4
file_size: 25198755
relation: main_file
success: 1
- access_level: open_access
checksum: 9d1d48a8ed5c109a999c51b044ee523d
content_type: video/mp4
creator: rguseino
date_created: 2020-09-11T09:45:36Z
date_updated: 2020-09-11T09:45:36Z
file_id: '8380'
file_name: supplementary_movie_5.mp4
file_size: 29011354
relation: main_file
success: 1
- access_level: open_access
checksum: d414d0059e982d752d218756b3c3ce05
content_type: text/plain
creator: rguseino
date_created: 2020-09-11T09:52:36Z
date_updated: 2020-09-11T09:52:36Z
file_id: '8381'
file_name: readme.txt
file_size: 586
relation: main_file
success: 1
file_date_updated: 2020-09-11T09:52:36Z
has_accepted_license: '1'
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '8366'
relation: used_in_publication
status: public
status: public
title: 'Supplementary data for "Computational design of curved thin shells: from glass
façades to programmable matter"'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8761'
acknowledged_ssus:
- _id: ScienComp
article_processing_charge: No
author:
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
citation:
ama: Guseinov R. Supplementary data for “Computational design of cold bent glass
façades.” 2020. doi:10.15479/AT:ISTA:8761
apa: Guseinov, R. (2020). Supplementary data for “Computational design of cold bent
glass façades.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8761
chicago: Guseinov, Ruslan. “Supplementary Data for ‘Computational Design of Cold
Bent Glass Façades.’” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8761.
ieee: R. Guseinov, “Supplementary data for ‘Computational design of cold bent glass
façades.’” Institute of Science and Technology Austria, 2020.
ista: Guseinov R. 2020. Supplementary data for ‘Computational design of cold bent
glass façades’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:8761.
mla: Guseinov, Ruslan. Supplementary Data for “Computational Design of Cold Bent
Glass Façades.” Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8761.
short: R. Guseinov, (2020).
contributor:
- contributor_type: researcher
first_name: Konstantinos
last_name: Gavriil
- contributor_type: researcher
first_name: Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- contributor_type: researcher
first_name: Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- contributor_type: researcher
first_name: Davide
last_name: Pellis
- contributor_type: researcher
first_name: Paul M
id: 13C09E74-18D9-11E9-8878-32CFE5697425
last_name: Henderson
orcid: 0000-0002-5198-7445
- contributor_type: researcher
first_name: Florian
last_name: Rist
- contributor_type: researcher
first_name: Helmut
last_name: Pottmann
- contributor_type: researcher
first_name: Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
date_created: 2020-11-16T10:47:18Z
date_published: 2020-11-23T00:00:00Z
date_updated: 2024-02-21T12:43:22Z
day: '23'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.15479/AT:ISTA:8761
ec_funded: 1
file:
- access_level: open_access
checksum: f5ae57b97017b9f61081032703361233
content_type: application/x-gzip
creator: rguseino
date_created: 2020-11-16T10:31:29Z
date_updated: 2020-11-16T10:31:29Z
file_id: '8762'
file_name: mdn_model.tar.gz
file_size: 15378270
relation: main_file
success: 1
- access_level: open_access
checksum: b0d25e04060ee78c585ee2f23542c744
content_type: application/x-gzip
creator: rguseino
date_created: 2020-11-16T10:43:23Z
date_updated: 2020-11-16T10:43:23Z
file_id: '8763'
file_name: optimal_panels_data.tar.gz
file_size: 615387734
relation: main_file
success: 1
- access_level: open_access
checksum: 69c1dde3434ada86d125e0c2588caf1e
content_type: text/plain
creator: rguseino
date_created: 2020-11-18T10:04:59Z
date_updated: 2020-11-18T10:04:59Z
file_id: '8770'
file_name: readme.txt
file_size: 1228
relation: main_file
success: 1
file_date_updated: 2020-11-18T10:04:59Z
has_accepted_license: '1'
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publisher: Institute of Science and Technology Austria
related_material:
link:
- relation: software
url: https://github.com/russelmann/cold-glass-acm
record:
- id: '8562'
relation: used_in_publication
status: public
status: public
title: Supplementary data for "Computational design of cold bent glass façades"
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '7262'
abstract:
- lang: eng
text: Advances in shape-morphing materials, such as hydrogels, shape-memory polymers
and light-responsive polymers have enabled prescribing self-directed deformations
of initially flat geometries. However, most proposed solutions evolve towards
a target geometry without considering time-dependent actuation paths. To achieve
more complex geometries and avoid self-collisions, it is critical to encode a
spatial and temporal shape evolution within the initially flat shell. Recent realizations
of time-dependent morphing are limited to the actuation of few, discrete hinges
and cannot form doubly curved surfaces. Here, we demonstrate a method for encoding
temporal shape evolution in architected shells that assume complex shapes and
doubly curved geometries. The shells are non-periodic tessellations of pre-stressed
contractile unit cells that soften in water at rates prescribed locally by mesostructure
geometry. The ensuing midplane contraction is coupled to the formation of encoded
curvatures. We propose an inverse design tool based on a data-driven model for
unit cells’ temporal responses.
article_number: '237'
article_processing_charge: No
article_type: original
author:
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- first_name: Connor
full_name: McMahan, Connor
last_name: McMahan
- first_name: Jesus
full_name: Perez Rodriguez, Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- first_name: Chiara
full_name: Daraio, Chiara
last_name: Daraio
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Guseinov R, McMahan C, Perez Rodriguez J, Daraio C, Bickel B. Programming temporal
morphing of self-actuated shells. Nature Communications. 2020;11. doi:10.1038/s41467-019-14015-2
apa: Guseinov, R., McMahan, C., Perez Rodriguez, J., Daraio, C., & Bickel, B.
(2020). Programming temporal morphing of self-actuated shells. Nature Communications.
Springer Nature. https://doi.org/10.1038/s41467-019-14015-2
chicago: Guseinov, Ruslan, Connor McMahan, Jesus Perez Rodriguez, Chiara Daraio,
and Bernd Bickel. “Programming Temporal Morphing of Self-Actuated Shells.” Nature
Communications. Springer Nature, 2020. https://doi.org/10.1038/s41467-019-14015-2.
ieee: R. Guseinov, C. McMahan, J. Perez Rodriguez, C. Daraio, and B. Bickel, “Programming
temporal morphing of self-actuated shells,” Nature Communications, vol.
11. Springer Nature, 2020.
ista: Guseinov R, McMahan C, Perez Rodriguez J, Daraio C, Bickel B. 2020. Programming
temporal morphing of self-actuated shells. Nature Communications. 11, 237.
mla: Guseinov, Ruslan, et al. “Programming Temporal Morphing of Self-Actuated Shells.”
Nature Communications, vol. 11, 237, Springer Nature, 2020, doi:10.1038/s41467-019-14015-2.
short: R. Guseinov, C. McMahan, J. Perez Rodriguez, C. Daraio, B. Bickel, Nature
Communications 11 (2020).
date_created: 2020-01-13T16:54:26Z
date_published: 2020-01-13T00:00:00Z
date_updated: 2024-02-21T12:45:02Z
day: '13'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1038/s41467-019-14015-2
ec_funded: 1
external_id:
isi:
- '000511916800015'
file:
- access_level: open_access
checksum: 7db23fef2f4cda712f17f1004116ddff
content_type: application/pdf
creator: rguseino
date_created: 2020-01-15T14:35:34Z
date_updated: 2020-07-14T12:47:55Z
file_id: '7336'
file_name: 2020_NatureComm_Guseinov.pdf
file_size: 1315270
relation: main_file
file_date_updated: 2020-07-14T12:47:55Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
keyword:
- Design
- Synthesis and processing
- Mechanical engineering
- Polymers
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/geometry-meets-time/
record:
- id: '8366'
relation: dissertation_contains
status: public
- id: '7154'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Programming temporal morphing of self-actuated shells
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2020'
...