---
_id: '14240'
abstract:
- lang: eng
text: This paper introduces a novel method for simulating large bodies of water
as a height field. At the start of each time step, we partition the waves into
a bulk flow (which approximately satisfies the assumptions of the shallow water
equations) and surface waves (which approximately satisfy the assumptions of Airy
wave theory). We then solve the two wave regimes separately using appropriate
state-of-the-art techniques, and re-combine the resulting wave velocities at the
end of each step. This strategy leads to the first heightfield wave model capable
of simulating complex interactions between both deep and shallow water effects,
like the waves from a boat wake sloshing up onto a beach, or a dam break producing
wave interference patterns and eddies. We also analyze the numerical dispersion
created by our method and derive an exact correction factor for waves at a constant
water depth, giving us a numerically perfect re-creation of theoretical water
wave dispersion patterns.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We thank Georg Sperl for helping with early research for this paper,
Mickael Ly and Yi-Lu Chen for proofreading, and members of the ISTA Visual Computing
Group for general feedback. This project was funded in part by the European Research
Council (ERC Consolidator Grant 101045083 CoDiNA).\r\nThe motorboat and sailboat
were modeled by Sergei and the palmtrees by YadroGames. The environment map was
created by Emil Persson."
article_number: '83'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Jeschke S, Wojtan C. Generalizing shallow water simulations with dispersive
surface waves. ACM Transactions on Graphics. 2023;42(4). doi:10.1145/3592098
apa: Jeschke, S., & Wojtan, C. (2023). Generalizing shallow water simulations
with dispersive surface waves. ACM Transactions on Graphics. Association
for Computing Machinery. https://doi.org/10.1145/3592098
chicago: Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations
with Dispersive Surface Waves.” ACM Transactions on Graphics. Association
for Computing Machinery, 2023. https://doi.org/10.1145/3592098.
ieee: S. Jeschke and C. Wojtan, “Generalizing shallow water simulations with dispersive
surface waves,” ACM Transactions on Graphics, vol. 42, no. 4. Association
for Computing Machinery, 2023.
ista: Jeschke S, Wojtan C. 2023. Generalizing shallow water simulations with dispersive
surface waves. ACM Transactions on Graphics. 42(4), 83.
mla: Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations
with Dispersive Surface Waves.” ACM Transactions on Graphics, vol. 42,
no. 4, 83, Association for Computing Machinery, 2023, doi:10.1145/3592098.
short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 42 (2023).
date_created: 2023-08-27T22:01:17Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2024-01-02T09:35:55Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3592098
external_id:
isi:
- '001044671300049'
file:
- access_level: open_access
checksum: 1d178bb2f8011d9f5aedda6427e18c7a
content_type: video/mp4
creator: sjeschke
date_created: 2023-12-21T12:26:40Z
date_updated: 2023-12-21T12:26:40Z
file_id: '14704'
file_name: PaperVideo_final.mp4
file_size: 511572575
relation: main_file
success: 1
- access_level: open_access
checksum: a49b2e744d5cd1276bb8b2e0ce6dc638
content_type: application/pdf
creator: dernst
date_created: 2024-01-02T09:34:27Z
date_updated: 2024-01-02T09:34:27Z
file_id: '14725'
file_name: 2023_ACMToG_Jeschke.pdf
file_size: 7469177
relation: main_file
success: 1
file_date_updated: 2024-01-02T09:34:27Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
grant_number: '101045083'
name: Computational Discovery of Numerical Algorithms for Animation and Simulation
of Natural Phenomena
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Generalizing shallow water simulations with dispersive surface waves
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '8766'
abstract:
- lang: eng
text: "The “procedural” approach to animating ocean waves is the dominant algorithm
for animating larger bodies of water in\r\ninteractive applications as well as
in off-line productions — it provides high visual quality with a low computational
demand. In this paper, we widen the applicability of procedural water wave animation
with an extension that guarantees the satisfaction of boundary conditions imposed
by terrain while still approximating physical wave behavior. In combination with
a particle system that models wave breaking, foam, and spray, this allows us to
naturally model waves interacting with beaches and rocks. Our system is able to
animate waves at large scales at interactive frame rates on a commodity PC."
article_processing_charge: No
article_type: original
author:
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Nuttapong
full_name: Chentanez, Nuttapong
last_name: Chentanez
- first_name: Miles
full_name: Macklin, Miles
last_name: Macklin
- first_name: Matthias
full_name: Müller-Fischer, Matthias
last_name: Müller-Fischer
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Jeschke S, Hafner C, Chentanez N, Macklin M, Müller-Fischer M, Wojtan C. Making
procedural water waves boundary-aware. Computer Graphics forum. 2020;39(8):47-54.
doi:10.1111/cgf.14100
apa: 'Jeschke, S., Hafner, C., Chentanez, N., Macklin, M., Müller-Fischer, M., &
Wojtan, C. (2020). Making procedural water waves boundary-aware. Computer Graphics
Forum. Online Symposium: Wiley. https://doi.org/10.1111/cgf.14100'
chicago: Jeschke, Stefan, Christian Hafner, Nuttapong Chentanez, Miles Macklin,
Matthias Müller-Fischer, and Chris Wojtan. “Making Procedural Water Waves Boundary-Aware.”
Computer Graphics Forum. Wiley, 2020. https://doi.org/10.1111/cgf.14100.
ieee: S. Jeschke, C. Hafner, N. Chentanez, M. Macklin, M. Müller-Fischer, and C.
Wojtan, “Making procedural water waves boundary-aware,” Computer Graphics forum,
vol. 39, no. 8. Wiley, pp. 47–54, 2020.
ista: Jeschke S, Hafner C, Chentanez N, Macklin M, Müller-Fischer M, Wojtan C. 2020.
Making procedural water waves boundary-aware. Computer Graphics forum. 39(8),
47–54.
mla: Jeschke, Stefan, et al. “Making Procedural Water Waves Boundary-Aware.” Computer
Graphics Forum, vol. 39, no. 8, Wiley, 2020, pp. 47–54, doi:10.1111/cgf.14100.
short: S. Jeschke, C. Hafner, N. Chentanez, M. Macklin, M. Müller-Fischer, C. Wojtan,
Computer Graphics Forum 39 (2020) 47–54.
conference:
end_date: 2020-10-09
location: Online Symposium
name: 'SCA: Symposium on Computer Animation'
start_date: 2020-10-06
date_created: 2020-11-17T10:47:48Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2024-02-28T13:58:11Z
day: '01'
department:
- _id: ChWo
- _id: BeBi
doi: 10.1111/cgf.14100
ec_funded: 1
external_id:
isi:
- '000591780400005'
intvolume: ' 39'
isi: 1
issue: '8'
language:
- iso: eng
month: '12'
oa_version: None
page: 47-54
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
- _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_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Making procedural water waves boundary-aware
type: journal_article
user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2020'
...
---
_id: '134'
abstract:
- lang: eng
text: "The current state of the art in real-time two-dimensional water wave simulation
requires developers to choose between efficient Fourier-based methods, which lack
interactions with moving obstacles, and finite-difference or finite element methods,
which handle environmental interactions but are significantly more expensive.
This paper attempts to bridge this long-standing gap between complexity and performance,
by proposing a new wave simulation method that can faithfully simulate wave interactions
with moving obstacles in real time while simultaneously preserving minute details
and accommodating very large simulation domains.\r\n\r\nPrevious methods for simulating
2D water waves directly compute the change in height of the water surface, a strategy
which imposes limitations based on the CFL condition (fast moving waves require
small time steps) and Nyquist's limit (small wave details require closely-spaced
simulation variables). This paper proposes a novel wavelet transformation that
discretizes the liquid motion in terms of amplitude-like functions that vary over
space, frequency, and direction, effectively generalizing Fourier-based methods
to handle local interactions. Because these new variables change much more slowly
over space than the original water height function, our change of variables drastically
reduces the limitations of the CFL condition and Nyquist limit, allowing us to
simulate highly detailed water waves at very large visual resolutions. Our discretization
is amenable to fast summation and easy to parallelize. We also present basic extensions
like pre-computed wave paths and two-way solid fluid coupling. Finally, we argue
that our discretization provides a convenient set of variables for artistic manipulation,
which we illustrate with a novel wave-painting interface."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- SIGGRAPH
article_number: '94'
article_processing_charge: No
author:
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Tomas
full_name: Skrivan, Tomas
id: 486A5A46-F248-11E8-B48F-1D18A9856A87
last_name: Skrivan
- first_name: Matthias
full_name: Mueller Fischer, Matthias
last_name: Mueller Fischer
- first_name: Nuttapong
full_name: Chentanez, Nuttapong
last_name: Chentanez
- first_name: Miles
full_name: Macklin, Miles
last_name: Macklin
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Jeschke S, Skrivan T, Mueller Fischer M, Chentanez N, Macklin M, Wojtan C.
Water surface wavelets. ACM Transactions on Graphics. 2018;37(4). doi:10.1145/3197517.3201336
apa: Jeschke, S., Skrivan, T., Mueller Fischer, M., Chentanez, N., Macklin, M.,
& Wojtan, C. (2018). Water surface wavelets. ACM Transactions on Graphics.
ACM. https://doi.org/10.1145/3197517.3201336
chicago: Jeschke, Stefan, Tomas Skrivan, Matthias Mueller Fischer, Nuttapong Chentanez,
Miles Macklin, and Chris Wojtan. “Water Surface Wavelets.” ACM Transactions
on Graphics. ACM, 2018. https://doi.org/10.1145/3197517.3201336.
ieee: S. Jeschke, T. Skrivan, M. Mueller Fischer, N. Chentanez, M. Macklin, and
C. Wojtan, “Water surface wavelets,” ACM Transactions on Graphics, vol.
37, no. 4. ACM, 2018.
ista: Jeschke S, Skrivan T, Mueller Fischer M, Chentanez N, Macklin M, Wojtan C.
2018. Water surface wavelets. ACM Transactions on Graphics. 37(4), 94.
mla: Jeschke, Stefan, et al. “Water Surface Wavelets.” ACM Transactions on Graphics,
vol. 37, no. 4, 94, ACM, 2018, doi:10.1145/3197517.3201336.
short: S. Jeschke, T. Skrivan, M. Mueller Fischer, N. Chentanez, M. Macklin, C.
Wojtan, ACM Transactions on Graphics 37 (2018).
date_created: 2018-12-11T11:44:48Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2024-02-28T13:58:51Z
day: '30'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3197517.3201336
ec_funded: 1
external_id:
isi:
- '000448185000055'
file:
- access_level: open_access
checksum: db75ebabe2ec432bf41389e614d6ef62
content_type: application/pdf
creator: dernst
date_created: 2018-12-18T09:59:23Z
date_updated: 2020-07-14T12:44:45Z
file_id: '5744'
file_name: 2018_ACM_Jeschke.pdf
file_size: 22185016
relation: main_file
file_date_updated: 2020-07-14T12:44:45Z
has_accepted_license: '1'
intvolume: ' 37'
isi: 1
issue: '4'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '7789'
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/new-water-simulation-captures-small-details-even-in-large-scenes/
scopus_import: '1'
status: public
title: Water surface wavelets
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: journal_article
user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2018'
...
---
_id: '470'
abstract:
- lang: eng
text: This paper presents a method for simulating water surface waves as a displacement
field on a 2D domain. Our method relies on Lagrangian particles that carry packets
of water wave energy; each packet carries information about an entire group of
wave trains, as opposed to only a single wave crest. Our approach is unconditionally
stable and can simulate high resolution geometric details. This approach also
presents a straightforward interface for artistic control, because it is essentially
a particle system with intuitive parameters like wavelength and amplitude. Our
implementation parallelizes well and runs in real time for moderately challenging
scenarios.
acknowledged_ssus:
- _id: ScienComp
article_number: '103'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Jeschke S, Wojtan C. Water wave packets. ACM Transactions on Graphics.
2017;36(4). doi:10.1145/3072959.3073678
apa: Jeschke, S., & Wojtan, C. (2017). Water wave packets. ACM Transactions
on Graphics. ACM. https://doi.org/10.1145/3072959.3073678
chicago: Jeschke, Stefan, and Chris Wojtan. “Water Wave Packets.” ACM Transactions
on Graphics. ACM, 2017. https://doi.org/10.1145/3072959.3073678.
ieee: S. Jeschke and C. Wojtan, “Water wave packets,” ACM Transactions on Graphics,
vol. 36, no. 4. ACM, 2017.
ista: Jeschke S, Wojtan C. 2017. Water wave packets. ACM Transactions on Graphics.
36(4), 103.
mla: Jeschke, Stefan, and Chris Wojtan. “Water Wave Packets.” ACM Transactions
on Graphics, vol. 36, no. 4, 103, ACM, 2017, doi:10.1145/3072959.3073678.
short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 36 (2017).
date_created: 2018-12-11T11:46:39Z
date_published: 2017-07-01T00:00:00Z
date_updated: 2023-02-23T12:20:26Z
day: '01'
ddc:
- '006'
department:
- _id: ChWo
doi: 10.1145/3072959.3073678
ec_funded: 1
file:
- access_level: open_access
checksum: 82a3b2bfeee4ddef16ecc21675d1a48a
content_type: application/pdf
creator: wojtan
date_created: 2020-01-24T09:32:35Z
date_updated: 2020-07-14T12:46:34Z
file_id: '7359'
file_name: wavepackets_final.pdf
file_size: 13131683
relation: main_file
file_date_updated: 2020-07-14T12:46:34Z
has_accepted_license: '1'
intvolume: ' 36'
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: ACM Transactions on Graphics
publication_identifier:
issn:
- '07300301'
publication_status: published
publisher: ACM
publist_id: '7350'
quality_controlled: '1'
scopus_import: 1
status: public
title: Water wave packets
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2017'
...
---
_id: '1413'
abstract:
- lang: eng
text: This paper generalizes the well-known Diffusion Curves Images (DCI), which
are composed of a set of Bezier curves with colors specified on either side. These
colors are diffused as Laplace functions over the image domain, which results
in smooth color gradients interrupted by the Bezier curves. Our new formulation
allows for more color control away from the boundary, providing a similar expressive
power as recent Bilaplace image models without introducing associated issues and
computational costs. The new model is based on a special Laplace function blending
and a new edge blur formulation. We demonstrate that given some user-defined boundary
curves over an input raster image, fitting colors and edge blur from the image
to the new model and subsequent editing and animation is equally convenient as
with DCIs. Numerous examples and comparisons to DCIs are presented.
author:
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
citation:
ama: 'Jeschke S. Generalized diffusion curves: An improved vector representation
for smooth-shaded images. Computer Graphics Forum. 2016;35(2):71-79. doi:10.1111/cgf.12812'
apa: 'Jeschke, S. (2016). Generalized diffusion curves: An improved vector representation
for smooth-shaded images. Computer Graphics Forum. Wiley-Blackwell. https://doi.org/10.1111/cgf.12812'
chicago: 'Jeschke, Stefan. “Generalized Diffusion Curves: An Improved Vector Representation
for Smooth-Shaded Images.” Computer Graphics Forum. Wiley-Blackwell, 2016.
https://doi.org/10.1111/cgf.12812.'
ieee: 'S. Jeschke, “Generalized diffusion curves: An improved vector representation
for smooth-shaded images,” Computer Graphics Forum, vol. 35, no. 2. Wiley-Blackwell,
pp. 71–79, 2016.'
ista: 'Jeschke S. 2016. Generalized diffusion curves: An improved vector representation
for smooth-shaded images. Computer Graphics Forum. 35(2), 71–79.'
mla: 'Jeschke, Stefan. “Generalized Diffusion Curves: An Improved Vector Representation
for Smooth-Shaded Images.” Computer Graphics Forum, vol. 35, no. 2, Wiley-Blackwell,
2016, pp. 71–79, doi:10.1111/cgf.12812.'
short: S. Jeschke, Computer Graphics Forum 35 (2016) 71–79.
date_created: 2018-12-11T11:51:53Z
date_published: 2016-05-01T00:00:00Z
date_updated: 2021-01-12T06:50:34Z
day: '01'
department:
- _id: ChWo
doi: 10.1111/cgf.12812
intvolume: ' 35'
issue: '2'
language:
- iso: eng
month: '05'
oa_version: None
page: 71 - 79
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 24352-N23
name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5794'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Generalized diffusion curves: An improved vector representation for smooth-shaded
images'
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2016'
...
---
_id: '1630'
abstract:
- lang: eng
text: We present a method to learn and propagate shape placements in 2D polygonal
scenes from a few examples provided by a user. The placement of a shape is modeled
as an oriented bounding box. Simple geometric relationships between this bounding
box and nearby scene polygons define a feature set for the placement. The feature
sets of all example placements are then used to learn a probabilistic model over
all possible placements and scenes. With this model, we can generate a new set
of placements with similar geometric relationships in any given scene. We introduce
extensions that enable propagation and generation of shapes in 3D scenes, as
well as the application of a learned modeling session to large scenes without
additional user interaction. These concepts allow us to generate complex scenes
with thousands of objects with relatively little user interaction.
acknowledgement: This publication is based upon work supported by the KAUST Office
of Competitive Research Funds (OCRF) under Award No. 62140401, the KAUST Visual
Computing Center and the Austrian Science Fund (FWF) projects DEEP PICTURES (no.
P24352-N23) and Data-Driven Procedural Modeling of Interiors (no. P24600-N23).
article_number: '108'
author:
- first_name: Paul
full_name: Guerrero, Paul
last_name: Guerrero
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Michael
full_name: Wimmer, Michael
last_name: Wimmer
- first_name: Peter
full_name: Wonka, Peter
last_name: Wonka
citation:
ama: 'Guerrero P, Jeschke S, Wimmer M, Wonka P. Learning shape placements by example.
In: Vol 34. ACM; 2015. doi:10.1145/2766933'
apa: 'Guerrero, P., Jeschke, S., Wimmer, M., & Wonka, P. (2015). Learning shape
placements by example (Vol. 34). Presented at the SIGGRAPH: Special Interest Group
on Computer Graphics and Interactive Techniques, Los Angeles, CA, United States:
ACM. https://doi.org/10.1145/2766933'
chicago: Guerrero, Paul, Stefan Jeschke, Michael Wimmer, and Peter Wonka. “Learning
Shape Placements by Example,” Vol. 34. ACM, 2015. https://doi.org/10.1145/2766933.
ieee: 'P. Guerrero, S. Jeschke, M. Wimmer, and P. Wonka, “Learning shape placements
by example,” presented at the SIGGRAPH: Special Interest Group on Computer Graphics
and Interactive Techniques, Los Angeles, CA, United States, 2015, vol. 34, no.
4.'
ista: 'Guerrero P, Jeschke S, Wimmer M, Wonka P. 2015. Learning shape placements
by example. SIGGRAPH: Special Interest Group on Computer Graphics and Interactive
Techniques vol. 34, 108.'
mla: Guerrero, Paul, et al. Learning Shape Placements by Example. Vol. 34,
no. 4, 108, ACM, 2015, doi:10.1145/2766933.
short: P. Guerrero, S. Jeschke, M. Wimmer, P. Wonka, in:, ACM, 2015.
conference:
end_date: 2015-08-13
location: Los Angeles, CA, United States
name: 'SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques'
start_date: 2015-08-09
date_created: 2018-12-11T11:53:08Z
date_published: 2015-07-27T00:00:00Z
date_updated: 2021-01-12T06:52:07Z
day: '27'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2766933
file:
- access_level: open_access
checksum: 8b05a51e372c9b0b5af9a00098a9538b
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:07:49Z
date_updated: 2020-07-14T12:45:07Z
file_id: '4647'
file_name: IST-2016-576-v1+1_guerrero-2015-lsp-paper.pdf
file_size: 11902290
relation: main_file
file_date_updated: 2020-07-14T12:45:07Z
has_accepted_license: '1'
intvolume: ' 34'
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 24352-N23
name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
publication_status: published
publisher: ACM
publist_id: '5525'
pubrep_id: '576'
quality_controlled: '1'
scopus_import: 1
status: public
title: Learning shape placements by example
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2015'
...
---
_id: '1814'
abstract:
- lang: eng
text: 'We present an efficient wavefront tracking algorithm for animating bodies
of water that interact with their environment. Our contributions include: a novel
wavefront tracking technique that enables dispersion, refraction, reflection,
and diffraction in the same simulation; a unique multivalued function interpolation
method that enables our simulations to elegantly sidestep the Nyquist limit; a
dispersion approximation for efficiently amplifying the number of simulated waves
by several orders of magnitude; and additional extensions that allow for time-dependent
effects and interactive artistic editing of the resulting animation. Our contributions
combine to give us multitudes more wave details than similar algorithms, while
maintaining high frame rates and allowing close camera zooms.'
article_number: '27'
author:
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Jeschke S, Wojtan C. Water wave animation via wavefront parameter interpolation.
ACM Transactions on Graphics. 2015;34(3). doi:10.1145/2714572
apa: Jeschke, S., & Wojtan, C. (2015). Water wave animation via wavefront parameter
interpolation. ACM Transactions on Graphics. ACM. https://doi.org/10.1145/2714572
chicago: Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront
Parameter Interpolation.” ACM Transactions on Graphics. ACM, 2015. https://doi.org/10.1145/2714572.
ieee: S. Jeschke and C. Wojtan, “Water wave animation via wavefront parameter interpolation,”
ACM Transactions on Graphics, vol. 34, no. 3. ACM, 2015.
ista: Jeschke S, Wojtan C. 2015. Water wave animation via wavefront parameter interpolation.
ACM Transactions on Graphics. 34(3), 27.
mla: Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront Parameter
Interpolation.” ACM Transactions on Graphics, vol. 34, no. 3, 27, ACM,
2015, doi:10.1145/2714572.
short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 34 (2015).
date_created: 2018-12-11T11:54:09Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2023-02-23T10:15:40Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2714572
ec_funded: 1
file:
- access_level: open_access
checksum: 67c9f4fa370def68cdf31299e48bc91f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:15Z
date_updated: 2020-07-14T12:45:17Z
file_id: '4933'
file_name: IST-2016-575-v1+1_wavefront_preprint.pdf
file_size: 23712153
relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
intvolume: ' 34'
issue: '3'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Submitted Version
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 24352-N23
name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '5292'
pubrep_id: '575'
quality_controlled: '1'
scopus_import: 1
status: public
title: Water wave animation via wavefront parameter interpolation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2015'
...
---
_id: '1629'
abstract:
- lang: eng
text: We propose a method for propagating edit operations in 2D vector graphics,
based on geometric relationship functions. These functions quantify the geometric
relationship of a point to a polygon, such as the distance to the boundary or
the direction to the closest corner vertex. The level sets of the relationship
functions describe points with the same relationship to a polygon. For a given
query point, we first determine a set of relationships to local features, construct
all level sets for these relationships, and accumulate them. The maxima of the
resulting distribution are points with similar geometric relationships. We show
extensions to handle mirror symmetries, and discuss the use of relationship functions
as local coordinate systems. Our method can be applied, for example, to interactive
floorplan editing, and it is especially useful for large layouts, where individual
edits would be cumbersome. We demonstrate populating 2D layouts with tens to hundreds
of objects by propagating relatively few edit operations.
article_number: '15'
author:
- first_name: Paul
full_name: Guerrero, Paul
last_name: Guerrero
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Michael
full_name: Wimmer, Michael
last_name: Wimmer
- first_name: Peter
full_name: Wonka, Peter
last_name: Wonka
citation:
ama: Guerrero P, Jeschke S, Wimmer M, Wonka P. Edit propagation using geometric
relationship functions. ACM Transactions on Graphics. 2014;33(2). doi:10.1145/2591010
apa: Guerrero, P., Jeschke, S., Wimmer, M., & Wonka, P. (2014). Edit propagation
using geometric relationship functions. ACM Transactions on Graphics. ACM.
https://doi.org/10.1145/2591010
chicago: Guerrero, Paul, Stefan Jeschke, Michael Wimmer, and Peter Wonka. “Edit
Propagation Using Geometric Relationship Functions.” ACM Transactions on Graphics.
ACM, 2014. https://doi.org/10.1145/2591010.
ieee: P. Guerrero, S. Jeschke, M. Wimmer, and P. Wonka, “Edit propagation using
geometric relationship functions,” ACM Transactions on Graphics, vol. 33,
no. 2. ACM, 2014.
ista: Guerrero P, Jeschke S, Wimmer M, Wonka P. 2014. Edit propagation using geometric
relationship functions. ACM Transactions on Graphics. 33(2), 15.
mla: Guerrero, Paul, et al. “Edit Propagation Using Geometric Relationship Functions.”
ACM Transactions on Graphics, vol. 33, no. 2, 15, ACM, 2014, doi:10.1145/2591010.
short: P. Guerrero, S. Jeschke, M. Wimmer, P. Wonka, ACM Transactions on Graphics
33 (2014).
date_created: 2018-12-11T11:53:08Z
date_published: 2014-03-01T00:00:00Z
date_updated: 2021-01-12T06:52:06Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2591010
file:
- access_level: open_access
checksum: 7f91e588a4e888610313b98271e6418e
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:22Z
date_updated: 2020-07-14T12:45:07Z
file_id: '4876'
file_name: IST-2016-577-v1+1_2014.TOG.Paul.EditingPropagation.final.pdf
file_size: 9832561
relation: main_file
file_date_updated: 2020-07-14T12:45:07Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '2'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Submitted Version
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '5526'
pubrep_id: '577'
quality_controlled: '1'
status: public
title: Edit propagation using geometric relationship functions
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 33
year: '2014'
...
---
_id: '1854'
abstract:
- lang: eng
text: In this paper, we present a method for non-rigid, partial shape matching in
vector graphics. Given a user-specified query region in a 2D shape, similar regions
are found, even if they are non-linearly distorted. Furthermore, a non-linear
mapping is established between the query regions and these matches, which allows
the automatic transfer of editing operations such as texturing. This is achieved
by a two-step approach. First, pointwise correspondences between the query region
and the whole shape are established. The transformation parameters of these correspondences
are registered in an appropriate transformation space. For transformations between
similar regions, these parameters form surfaces in transformation space, which
are extracted in the second step of our method. The extracted regions may be related
to the query region by a non-rigid transform, enabling non-rigid shape matching.
In this paper, we present a method for non-rigid, partial shape matching in vector
graphics. Given a user-specified query region in a 2D shape, similar regions are
found, even if they are non-linearly distorted. Furthermore, a non-linear mapping
is established between the query regions and these matches, which allows the automatic
transfer of editing operations such as texturing. This is achieved by a two-step
approach. First, pointwise correspondences between the query region and the whole
shape are established. The transformation parameters of these correspondences
are registered in an appropriate transformation space. For transformations between
similar regions, these parameters form surfaces in transformation space, which
are extracted in the second step of our method. The extracted regions may be related
to the query region by a non-rigid transform, enabling non-rigid shape matching.
author:
- first_name: Paul
full_name: Guerrero, Paul
last_name: Guerrero
- first_name: Thomas
full_name: Auzinger, Thomas
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Michael
full_name: Wimmer, Michael
last_name: Wimmer
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
citation:
ama: Guerrero P, Auzinger T, Wimmer M, Jeschke S. Partial shape matching using transformation
parameter similarity. Computer Graphics Forum. 2014;34(1):239-252. doi:10.1111/cgf.12509
apa: Guerrero, P., Auzinger, T., Wimmer, M., & Jeschke, S. (2014). Partial shape
matching using transformation parameter similarity. Computer Graphics Forum.
Wiley. https://doi.org/10.1111/cgf.12509
chicago: Guerrero, Paul, Thomas Auzinger, Michael Wimmer, and Stefan Jeschke. “Partial
Shape Matching Using Transformation Parameter Similarity.” Computer Graphics
Forum. Wiley, 2014. https://doi.org/10.1111/cgf.12509.
ieee: P. Guerrero, T. Auzinger, M. Wimmer, and S. Jeschke, “Partial shape matching
using transformation parameter similarity,” Computer Graphics Forum, vol.
34, no. 1. Wiley, pp. 239–252, 2014.
ista: Guerrero P, Auzinger T, Wimmer M, Jeschke S. 2014. Partial shape matching
using transformation parameter similarity. Computer Graphics Forum. 34(1), 239–252.
mla: Guerrero, Paul, et al. “Partial Shape Matching Using Transformation Parameter
Similarity.” Computer Graphics Forum, vol. 34, no. 1, Wiley, 2014, pp.
239–52, doi:10.1111/cgf.12509.
short: P. Guerrero, T. Auzinger, M. Wimmer, S. Jeschke, Computer Graphics Forum
34 (2014) 239–252.
date_created: 2018-12-11T11:54:22Z
date_published: 2014-11-05T00:00:00Z
date_updated: 2021-01-12T06:53:38Z
day: '05'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1111/cgf.12509
file:
- access_level: open_access
checksum: 91946bfc509c77f5fd3151a3ff2b2c8f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:58Z
date_updated: 2020-07-14T12:45:19Z
file_id: '5182'
file_name: IST-2016-574-v1+1_Guerrero-2014-TPS-paper.pdf
file_size: 24817484
relation: main_file
file_date_updated: 2020-07-14T12:45:19Z
has_accepted_license: '1'
intvolume: ' 34'
issue: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Submitted Version
page: 239 - 252
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley
publist_id: '5246'
pubrep_id: '574'
quality_controlled: '1'
scopus_import: 1
status: public
title: Partial shape matching using transformation parameter similarity
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2014'
...
---
_id: '1906'
abstract:
- lang: eng
text: In this paper, we introduce a novel scene representation for the visualization
of large-scale point clouds accompanied by a set of high-resolution photographs.
Many real-world applications deal with very densely sampled point-cloud data,
which are augmented with photographs that often reveal lighting variations and
inaccuracies in registration. Consequently, the high-quality representation of
the captured data, i.e., both point clouds and photographs together, is a challenging
and time-consuming task. We propose a two-phase approach, in which the first (preprocessing)
phase generates multiple overlapping surface patches and handles the problem of
seamless texture generation locally for each patch. The second phase stitches
these patches at render-time to produce a high-quality visualization of the data.
As a result of the proposed localization of the global texturing problem, our
algorithm is more than an order of magnitude faster than equivalent mesh-based
texturing techniques. Furthermore, since our preprocessing phase requires only
a minor fraction of the whole data set at once, we provide maximum flexibility
when dealing with growing data sets.
acknowledgement: This research was supported by the Austrian Research Promotion Agency
(FFG) project REPLICATE (no. 835948), the EU FP7 project HARVEST4D (no. 323567).
author:
- first_name: Murat
full_name: Arikan, Murat
last_name: Arikan
- first_name: Reinhold
full_name: Preiner, Reinhold
last_name: Preiner
- first_name: Claus
full_name: Scheiblauer, Claus
last_name: Scheiblauer
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Michael
full_name: Wimmer, Michael
last_name: Wimmer
citation:
ama: Arikan M, Preiner R, Scheiblauer C, Jeschke S, Wimmer M. Large-scale point-cloud
visualization through localized textured surface reconstruction. IEEE Transactions
on Visualization and Computer Graphics. 2014;20(9):1280-1292. doi:10.1109/TVCG.2014.2312011
apa: Arikan, M., Preiner, R., Scheiblauer, C., Jeschke, S., & Wimmer, M. (2014).
Large-scale point-cloud visualization through localized textured surface reconstruction.
IEEE Transactions on Visualization and Computer Graphics. IEEE. https://doi.org/10.1109/TVCG.2014.2312011
chicago: Arikan, Murat, Reinhold Preiner, Claus Scheiblauer, Stefan Jeschke, and
Michael Wimmer. “Large-Scale Point-Cloud Visualization through Localized Textured
Surface Reconstruction.” IEEE Transactions on Visualization and Computer Graphics.
IEEE, 2014. https://doi.org/10.1109/TVCG.2014.2312011.
ieee: M. Arikan, R. Preiner, C. Scheiblauer, S. Jeschke, and M. Wimmer, “Large-scale
point-cloud visualization through localized textured surface reconstruction,”
IEEE Transactions on Visualization and Computer Graphics, vol. 20, no.
9. IEEE, pp. 1280–1292, 2014.
ista: Arikan M, Preiner R, Scheiblauer C, Jeschke S, Wimmer M. 2014. Large-scale
point-cloud visualization through localized textured surface reconstruction. IEEE
Transactions on Visualization and Computer Graphics. 20(9), 1280–1292.
mla: Arikan, Murat, et al. “Large-Scale Point-Cloud Visualization through Localized
Textured Surface Reconstruction.” IEEE Transactions on Visualization and Computer
Graphics, vol. 20, no. 9, IEEE, 2014, pp. 1280–92, doi:10.1109/TVCG.2014.2312011.
short: M. Arikan, R. Preiner, C. Scheiblauer, S. Jeschke, M. Wimmer, IEEE Transactions
on Visualization and Computer Graphics 20 (2014) 1280–1292.
date_created: 2018-12-11T11:54:39Z
date_published: 2014-09-09T00:00:00Z
date_updated: 2021-01-12T06:53:59Z
day: '09'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1109/TVCG.2014.2312011
file:
- access_level: open_access
checksum: 5bf58942d2eb20adf03c7f9ea2e68124
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:41Z
date_updated: 2020-07-14T12:45:20Z
file_id: '5297'
file_name: IST-2016-573-v1+1_arikan-2014-pcvis-draft.pdf
file_size: 13594598
relation: main_file
file_date_updated: 2020-07-14T12:45:20Z
has_accepted_license: '1'
intvolume: ' 20'
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 1280 - 1292
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 24352-N23
name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
publication: IEEE Transactions on Visualization and Computer Graphics
publication_status: published
publisher: IEEE
publist_id: '5189'
pubrep_id: '573'
scopus_import: 1
status: public
title: Large-scale point-cloud visualization through localized textured surface reconstruction
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2014'
...
---
_id: '2269'
abstract:
- lang: eng
text: This paper presents a parallel, implementation-friendly analytic visibility
method for triangular meshes. Together with an analytic filter convolution, it
allows for a fully analytic solution to anti-aliased 3D mesh rendering on parallel
hardware. Building on recent works in computational geometry, we present a new
edge-triangle intersection algorithm and a novel method to complete the boundaries
of all visible triangle regions after a hidden line elimination step. All stages
of the method are embarrassingly parallel and easily implementable on parallel
hardware. A GPU implementation is discussed and performance characteristics of
the method are shown and compared to traditional sampling-based rendering methods.
acknowledgement: "Funding was provided by the FWF grant P20768-N13.\nWe want to thank
the reviewers for their insightful and helpful remarks and Gernot Ziegler for providing
help with CUDA. "
author:
- first_name: Thomas
full_name: Thomas Auzinger
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Michael
full_name: Wimmer, Michael
last_name: Wimmer
- first_name: Stefan
full_name: Stefan Jeschke
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
citation:
ama: 'Auzinger T, Wimmer M, Jeschke S. Analytic Visibility on the GPU. Computer
Graphics Forum. 2013;32(124):409-418. doi:DOI:
10.1111/cgf.12061'
apa: 'Auzinger, T., Wimmer, M., & Jeschke, S. (2013). Analytic Visibility on
the GPU. Computer Graphics Forum. Wiley-Blackwell. https://doi.org/DOI: 10.1111/cgf.12061'
chicago: 'Auzinger, Thomas, Michael Wimmer, and Stefan Jeschke. “Analytic Visibility
on the GPU.” Computer Graphics Forum. Wiley-Blackwell, 2013. https://doi.org/DOI: 10.1111/cgf.12061.'
ieee: T. Auzinger, M. Wimmer, and S. Jeschke, “Analytic Visibility on the GPU,”
Computer Graphics Forum, vol. 32, no. 124. Wiley-Blackwell, pp. 409–418,
2013.
ista: Auzinger T, Wimmer M, Jeschke S. 2013. Analytic Visibility on the GPU. Computer
Graphics Forum. 32(124), 409–418.
mla: 'Auzinger, Thomas, et al. “Analytic Visibility on the GPU.” Computer Graphics
Forum, vol. 32, no. 124, Wiley-Blackwell, 2013, pp. 409–18, doi:DOI: 10.1111/cgf.12061.'
short: T. Auzinger, M. Wimmer, S. Jeschke, Computer Graphics Forum 32 (2013) 409–418.
date_created: 2018-12-11T11:56:40Z
date_published: 2013-05-06T00:00:00Z
date_updated: 2021-01-12T06:56:25Z
day: '06'
doi: 'DOI: 10.1111/cgf.12061'
extern: 1
intvolume: ' 32'
issue: 124
month: '05'
page: 409 - 418
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley-Blackwell
publist_id: '4675'
quality_controlled: 0
status: public
title: Analytic Visibility on the GPU
type: journal_article
volume: 32
year: '2013'
...
---
_id: '2267'
abstract:
- lang: eng
text: 'Capturing real-world objects with laser-scanning technology has become an
everyday task. Recently, the acquisition of dynamic scenes at interactive frame
rates has become feasible. A high-quality visualization of the resulting point
cloud stream would require a per-frame reconstruction of object surfaces. Unfortunately,
reconstruction computations are still too time-consuming to be applied interactively.
In this paper we present a local surface reconstruction and visualization technique
that provides interactive feedback for reasonably sized point clouds, while achieving
high image quality. Our method is performed entirely on the GPU and in screen
pace, exploiting the efficiency of the common rasterization pipeline. The approach
is very general, as no assumption is made about point connectivity or sampling
density. This naturally allows combining the outputs of multiple scanners in a
single visualization, which is useful for many virtual and augmented reality applications. '
author:
- first_name: Reinhold
full_name: Preiner, Reinhold
last_name: Preiner
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Michael
full_name: Wimmer, Michael
last_name: Wimmer
citation:
ama: 'Preiner R, Jeschke S, Wimmer M. Auto splats: Dynamic point cloud visualization
on the GPU. In: Eurographics Association; 2012:139-148. doi:10.2312/EGPGV/EGPGV12/139-148'
apa: 'Preiner, R., Jeschke, S., & Wimmer, M. (2012). Auto splats: Dynamic point
cloud visualization on the GPU (pp. 139–148). Presented at the EGPGV: Eurographics
Symposium on Parallel Graphics and Visualization, Calgari, Italy: Eurographics
Association. https://doi.org/10.2312/EGPGV/EGPGV12/139-148'
chicago: 'Preiner, Reinhold, Stefan Jeschke, and Michael Wimmer. “Auto Splats: Dynamic
Point Cloud Visualization on the GPU,” 139–48. Eurographics Association, 2012.
https://doi.org/10.2312/EGPGV/EGPGV12/139-148.'
ieee: 'R. Preiner, S. Jeschke, and M. Wimmer, “Auto splats: Dynamic point cloud
visualization on the GPU,” presented at the EGPGV: Eurographics Symposium on Parallel
Graphics and Visualization, Calgari, Italy, 2012, pp. 139–148.'
ista: 'Preiner R, Jeschke S, Wimmer M. 2012. Auto splats: Dynamic point cloud visualization
on the GPU. EGPGV: Eurographics Symposium on Parallel Graphics and Visualization,
139–148.'
mla: 'Preiner, Reinhold, et al. Auto Splats: Dynamic Point Cloud Visualization
on the GPU. Eurographics Association, 2012, pp. 139–48, doi:10.2312/EGPGV/EGPGV12/139-148.'
short: R. Preiner, S. Jeschke, M. Wimmer, in:, Eurographics Association, 2012, pp.
139–148.
conference:
end_date: 2012-05-14
location: Calgari, Italy
name: 'EGPGV: Eurographics Symposium on Parallel Graphics and Visualization'
start_date: 2012-05-13
date_created: 2018-12-11T11:56:40Z
date_published: 2012-05-13T00:00:00Z
date_updated: 2021-01-12T06:56:24Z
day: '13'
ddc:
- '000'
doi: 10.2312/EGPGV/EGPGV12/139-148
extern: '1'
file:
- access_level: open_access
checksum: 5495bb6ee8662cd401b34afb04dfb40f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:13Z
date_updated: 2020-07-14T12:45:35Z
file_id: '4866'
file_name: IST-2016-572-v1+1_preiner_2012_AS-draft.pdf
file_size: 14903860
relation: main_file
file_date_updated: 2020-07-14T12:45:35Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 139 - 148
publication_status: published
publisher: Eurographics Association
publist_id: '4677'
pubrep_id: '572'
quality_controlled: '1'
status: public
title: 'Auto splats: Dynamic point cloud visualization on the GPU'
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2012'
...
---
_id: '2268'
abstract:
- lang: eng
text: 'This paper presents an analytic formulation for anti-aliased sampling of
2D polygons and 3D polyhedra. Our framework allows the exact evaluation of the
convolution integral with a linear function defined on the polytopes. The filter
is a spherically symmetric polynomial of any order, supporting approximations
to refined variants such as the Mitchell-Netravali filter family. This enables
high-quality rasterization of triangles and tetrahedra with linearly interpolated
vertex values to regular and non-regular grids. A closed form solution of the
convolution is presented and an efficient implementation on the GPU using DirectX
and CUDA C is described. '
acknowledgement: |-
Funding was provided by the FWF grant P20768-N13.
We want to thank the reviewers for their insightful and helpful remarks, Hang Si for making available TetGen and Stefan Bruckner for VolumeShop.
alternative_title:
- Computer Graphics Forum
author:
- first_name: Thomas
full_name: Thomas Auzinger
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Michael
full_name: Guthe, Michael
last_name: Guthe
- first_name: Stefan
full_name: Stefan Jeschke
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
citation:
ama: 'Auzinger T, Guthe M, Jeschke S. Analytic anti-aliasing of linear functions
on polytopes. In: Vol 31. Wiley-Blackwell; 2012:335-344. doi:http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x'
apa: 'Auzinger, T., Guthe, M., & Jeschke, S. (2012). Analytic anti-aliasing
of linear functions on polytopes (Vol. 31, pp. 335–344). Presented at the EUROGRAPHICS:
European Association for Computer Graphics, Wiley-Blackwell. http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x'
chicago: Auzinger, Thomas, Michael Guthe, and Stefan Jeschke. “Analytic Anti-Aliasing
of Linear Functions on Polytopes,” 31:335–44. Wiley-Blackwell, 2012. http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x.
ieee: 'T. Auzinger, M. Guthe, and S. Jeschke, “Analytic anti-aliasing of linear
functions on polytopes,” presented at the EUROGRAPHICS: European Association for
Computer Graphics, 2012, vol. 31, no. 121, pp. 335–344.'
ista: 'Auzinger T, Guthe M, Jeschke S. 2012. Analytic anti-aliasing of linear functions
on polytopes. EUROGRAPHICS: European Association for Computer Graphics, Computer
Graphics Forum, vol. 31, 335–344.'
mla: Auzinger, Thomas, et al. Analytic Anti-Aliasing of Linear Functions on Polytopes.
Vol. 31, no. 121, Wiley-Blackwell, 2012, pp. 335–44, doi:http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x.
short: T. Auzinger, M. Guthe, S. Jeschke, in:, Wiley-Blackwell, 2012, pp. 335–344.
conference:
name: 'EUROGRAPHICS: European Association for Computer Graphics'
date_created: 2018-12-11T11:56:40Z
date_published: 2012-05-13T00:00:00Z
date_updated: 2021-01-12T06:56:24Z
day: '13'
doi: http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x
extern: 1
intvolume: ' 31'
issue: 121
main_file_link:
- open_access: '1'
url: https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/
month: '05'
oa: 1
page: 335 - 344
publication_status: published
publisher: Wiley-Blackwell
publist_id: '4676'
quality_controlled: 0
status: public
title: Analytic anti-aliasing of linear functions on polytopes
type: conference
volume: 31
year: '2012'
...