--- _id: '12972' abstract: - lang: eng text: Embroidery is a long-standing and high-quality approach to making logos and images on textiles. Nowadays, it can also be performed via automated machines that weave threads with high spatial accuracy. A characteristic feature of the appearance of the threads is a high degree of anisotropy. The anisotropic behavior is caused by depositing thin but long strings of thread. As a result, the stitched patterns convey both color and direction. Artists leverage this anisotropic behavior to enhance pure color images with textures, illusions of motion, or depth cues. However, designing colorful embroidery patterns with prescribed directionality is a challenging task, one usually requiring an expert designer. In this work, we propose an interactive algorithm that generates machine-fabricable embroidery patterns from multi-chromatic images equipped with user-specified directionality fields.We cast the problem of finding a stitching pattern into vector theory. To find a suitable stitching pattern, we extract sources and sinks from the divergence field of the vector field extracted from the input and use them to trace streamlines. We further optimize the streamlines to guarantee a smooth and connected stitching pattern. The generated patterns approximate the color distribution constrained by the directionality field. To allow for further artistic control, the trade-off between color match and directionality match can be interactively explored via an intuitive slider. We showcase our approach by fabricating several embroidery paths. acknowledgement: This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 715767 – MATERIALIZABLE), and FWF Lise Meitner (Grant M 3319). We thank the anonymous reviewers for their insightful feedback; Solal Pirelli, Shardul Chiplunkar, and Paola Mejia for proofreading; everyone in the visual computing group at ISTA for inspiring lunch and coffee breaks; Thibault Tricard for help producing the results of Phasor Noise. article_processing_charge: No article_type: original author: - first_name: Zhenyuan full_name: Liu, Zhenyuan id: 70f0d7cf-ae65-11ec-a14f-89dfc5505b19 last_name: Liu orcid: 0000-0001-9200-5690 - first_name: Michael full_name: Piovarci, Michael id: 62E473F4-5C99-11EA-A40E-AF823DDC885E last_name: Piovarci - first_name: Christian full_name: Hafner, Christian id: 400429CC-F248-11E8-B48F-1D18A9856A87 last_name: Hafner - first_name: Raphael full_name: Charrondiere, Raphael id: a3a24133-2cc7-11ec-be88-8ddaf6f464b1 last_name: Charrondiere - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 citation: ama: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. Directionality-aware design of embroidery patterns. Computer Graphics Forum. 2023;42(2):397-409. doi:10.1111/cgf.14770 apa: 'Liu, Z., Piovarci, M., Hafner, C., Charrondiere, R., & Bickel, B. (2023). Directionality-aware design of embroidery patterns. Computer Graphics Forum. Saarbrucken, Germany: Wiley. https://doi.org/10.1111/cgf.14770 ' chicago: Liu, Zhenyuan, Michael Piovarci, Christian Hafner, Raphael Charrondiere, and Bernd Bickel. “Directionality-Aware Design of Embroidery Patterns.” Computer Graphics Forum. Wiley, 2023. https://doi.org/10.1111/cgf.14770 . ieee: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, and B. Bickel, “Directionality-aware design of embroidery patterns,” Computer Graphics Forum, vol. 42, no. 2. Wiley, pp. 397–409, 2023. ista: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. 2023. Directionality-aware design of embroidery patterns. Computer Graphics Forum. 42(2), 397–409. mla: Liu, Zhenyuan, et al. “Directionality-Aware Design of Embroidery Patterns.” Computer Graphics Forum, vol. 42, no. 2, Wiley, 2023, pp. 397–409, doi:10.1111/cgf.14770 . short: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, B. Bickel, Computer Graphics Forum 42 (2023) 397–409. conference: end_date: 2023-05-12 location: Saarbrucken, Germany name: 'EG: Eurographics' start_date: 2023-05-08 date_created: 2023-05-16T08:47:25Z date_published: 2023-05-08T00:00:00Z date_updated: 2023-08-01T14:47:05Z day: '08' ddc: - '004' department: - _id: BeBi doi: '10.1111/cgf.14770 ' ec_funded: 1 external_id: isi: - '001000062600033' file: - access_level: open_access checksum: 4c188c2be4745467a8790bbf5d6491aa content_type: application/pdf creator: mpiovarc date_created: 2023-05-16T08:28:37Z date_updated: 2023-05-16T08:28:37Z file_id: '12974' file_name: Zhenyuan2023.pdf file_size: 24003702 relation: main_file success: 1 file_date_updated: 2023-05-16T08:28:37Z has_accepted_license: '1' intvolume: ' 42' isi: 1 issue: '2' keyword: - embroidery - design - directionality - density - image language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '05' oa: 1 oa_version: Published Version page: 397-409 project: - _id: eb901961-77a9-11ec-83b8-f5c883a62027 grant_number: M03319 name: Perception-Aware Appearance Fabrication - _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: issn: - 1467-8659 publication_status: published publisher: Wiley quality_controlled: '1' status: public title: Directionality-aware design of embroidery patterns tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 42 year: '2023' ... --- _id: '12976' abstract: - lang: eng text: "3D printing based on continuous deposition of materials, such as filament-based 3D printing, has seen widespread adoption thanks to its versatility in working with a wide range of materials. An important shortcoming of this type of technology is its limited multi-material capabilities. While there are simple hardware designs that enable multi-material printing in principle, the required software is heavily underdeveloped. A typical hardware design fuses together individual materials fed into a single chamber from multiple inlets before they are deposited. This design, however, introduces a time delay between the intended material mixture and its actual deposition. In this work, inspired by diverse path planning research in robotics, we show that this mechanical challenge can be addressed via improved printer control. We propose to formulate the search for optimal multi-material printing policies in a reinforcement\r\nlearning setup. We put forward a simple numerical deposition model that takes into account the non-linear material mixing and delayed material deposition. To validate our system we focus on color fabrication, a problem known for its strict requirements for varying material mixtures at a high spatial frequency. We demonstrate that our learned control policy outperforms state-of-the-art hand-crafted algorithms." acknowledgement: This work is graciously supported by FWF Lise Meitner (Grant M 3319). Kang Liao sincerely thank Emiliano Luci, Chunyu Lin, and Yao Zhao for their huge support. article_processing_charge: No author: - first_name: Kang full_name: Liao, Kang last_name: Liao - first_name: Thibault full_name: Tricard, Thibault last_name: Tricard - 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: Vahid full_name: Babaei, Vahid last_name: Babaei citation: ama: 'Liao K, Tricard T, Piovarci M, Seidel H-P, Babaei V. Learning deposition policies for fused multi-material 3D printing. In: 2023 IEEE International Conference on Robotics and Automation. Vol 2023. IEEE; 2023:12345-12352. doi:10.1109/ICRA48891.2023.10160465' apa: 'Liao, K., Tricard, T., Piovarci, M., Seidel, H.-P., & Babaei, V. (2023). Learning deposition policies for fused multi-material 3D printing. In 2023 IEEE International Conference on Robotics and Automation (Vol. 2023, pp. 12345–12352). London, United Kingdom: IEEE. https://doi.org/10.1109/ICRA48891.2023.10160465' chicago: Liao, Kang, Thibault Tricard, Michael Piovarci, Hans-Peter Seidel, and Vahid Babaei. “Learning Deposition Policies for Fused Multi-Material 3D Printing.” In 2023 IEEE International Conference on Robotics and Automation, 2023:12345–52. IEEE, 2023. https://doi.org/10.1109/ICRA48891.2023.10160465. ieee: K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, and V. Babaei, “Learning deposition policies for fused multi-material 3D printing,” in 2023 IEEE International Conference on Robotics and Automation, London, United Kingdom, 2023, vol. 2023, pp. 12345–12352. ista: 'Liao K, Tricard T, Piovarci M, Seidel H-P, Babaei V. 2023. Learning deposition policies for fused multi-material 3D printing. 2023 IEEE International Conference on Robotics and Automation. ICRA: International Conference on Robotics and Automation vol. 2023, 12345–12352.' mla: Liao, Kang, et al. “Learning Deposition Policies for Fused Multi-Material 3D Printing.” 2023 IEEE International Conference on Robotics and Automation, vol. 2023, IEEE, 2023, pp. 12345–52, doi:10.1109/ICRA48891.2023.10160465. short: K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, V. Babaei, in:, 2023 IEEE International Conference on Robotics and Automation, IEEE, 2023, pp. 12345–12352. conference: end_date: 2023-06-02 location: London, United Kingdom name: 'ICRA: International Conference on Robotics and Automation' start_date: 2023-05-29 date_created: 2023-05-16T09:14:09Z date_published: 2023-07-04T00:00:00Z date_updated: 2023-12-13T11:20:00Z day: '04' ddc: - '004' department: - _id: BeBi doi: 10.1109/ICRA48891.2023.10160465 external_id: isi: - '001048371104068' file: - access_level: open_access checksum: daeaa67124777d88487f933ea3f77164 content_type: application/pdf creator: mpiovarc date_created: 2023-05-16T09:12:05Z date_updated: 2023-05-16T09:12:05Z file_id: '12977' file_name: Liao2023.pdf file_size: 5367986 relation: main_file success: 1 file_date_updated: 2023-05-16T09:12:05Z has_accepted_license: '1' intvolume: ' 2023' isi: 1 keyword: - reinforcement learning - deposition - control - color - multi-filament language: - iso: eng month: '07' oa: 1 oa_version: Submitted Version page: 12345-12352 project: - _id: eb901961-77a9-11ec-83b8-f5c883a62027 grant_number: M03319 name: Perception-Aware Appearance Fabrication publication: 2023 IEEE International Conference on Robotics and Automation publication_identifier: eisbn: - '9798350323658' issn: - 1050-4729 publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Learning deposition policies for fused multi-material 3D printing type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2023 year: '2023' ... --- _id: '14798' abstract: - lang: eng text: 'A faithful reproduction of gloss is inherently difficult because of the limited dynamic range, peak luminance, and 3D capabilities of display devices. This work investigates how the display capabilities affect gloss appearance with respect to a real-world reference object. To this end, we employ an accurate imaging pipeline to achieve a perceptual gloss match between a virtual and real object presented side-by-side on an augmented-reality high-dynamic-range (HDR) stereoscopic display, which has not been previously attained to this extent. Based on this precise gloss reproduction, we conduct a series of gloss matching experiments to study how gloss perception degrades based on individual factors: object albedo, display luminance, dynamic range, stereopsis, and tone mapping. We support the study with a detailed analysis of individual factors, followed by an in-depth discussion on the observed perceptual effects. Our experiments demonstrate that stereoscopic presentation has a limited effect on the gloss matching task on our HDR display. However, both reduced luminance and dynamic range of the display reduce the perceived gloss. This means that the visual system cannot compensate for the changes in gloss appearance across luminance (lack of gloss constancy), and the tone mapping operator should be carefully selected when reproducing gloss on a low dynamic range (LDR) display.' acknowledgement: "This work is supported by FWF Lise Meitner (Grant M 3319), Spanish Agencia Estatal de Investigación (project PID2022-141539NBI00), European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement\r\nN◦ 725253–EyeCode), Swiss National Science Foundation (Grant no. 200502), and academic gifts from Meta. We thank Dmitry Lubyako and Ali Özgür Yöntem for building the turntable for our experiment." article_number: '90' article_processing_charge: Yes (in subscription journal) author: - first_name: Bin full_name: Chen, Bin last_name: Chen - first_name: Akshay full_name: Jindal, Akshay last_name: Jindal - first_name: Michael full_name: Piovarci, Michael id: 62E473F4-5C99-11EA-A40E-AF823DDC885E last_name: Piovarci orcid: 0000-0002-5062-4474 - first_name: Chao full_name: Wang, Chao last_name: Wang - 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 - first_name: Rafał K. full_name: Mantiuk, Rafał K. last_name: Mantiuk citation: ama: 'Chen B, Jindal A, Piovarci M, et al. The effect of display capabilities on the gloss consistency between real and virtual objects. In: Proceedings of the SIGGRAPH Asia 2023 Conference. Association for Computing Machinery; 2023. doi:10.1145/3610548.3618226' apa: 'Chen, B., Jindal, A., Piovarci, M., Wang, C., Seidel, H. P., Didyk, P., … Mantiuk, R. K. (2023). The effect of display capabilities on the gloss consistency between real and virtual objects. In Proceedings of the SIGGRAPH Asia 2023 Conference. Sydney, Australia: Association for Computing Machinery. https://doi.org/10.1145/3610548.3618226' chicago: Chen, Bin, Akshay Jindal, Michael Piovarci, Chao Wang, Hans Peter Seidel, Piotr Didyk, Karol Myszkowski, Ana Serrano, and Rafał K. Mantiuk. “The Effect of Display Capabilities on the Gloss Consistency between Real and Virtual Objects.” In Proceedings of the SIGGRAPH Asia 2023 Conference. Association for Computing Machinery, 2023. https://doi.org/10.1145/3610548.3618226. ieee: B. Chen et al., “The effect of display capabilities on the gloss consistency between real and virtual objects,” in Proceedings of the SIGGRAPH Asia 2023 Conference, Sydney, Australia, 2023. ista: 'Chen B, Jindal A, Piovarci M, Wang C, Seidel HP, Didyk P, Myszkowski K, Serrano A, Mantiuk RK. 2023. The effect of display capabilities on the gloss consistency between real and virtual objects. Proceedings of the SIGGRAPH Asia 2023 Conference. SIGGRAPH: Computer Graphics and Interactive Techniques Conference, 90.' mla: Chen, Bin, et al. “The Effect of Display Capabilities on the Gloss Consistency between Real and Virtual Objects.” Proceedings of the SIGGRAPH Asia 2023 Conference, 90, Association for Computing Machinery, 2023, doi:10.1145/3610548.3618226. short: B. Chen, A. Jindal, M. Piovarci, C. Wang, H.P. Seidel, P. Didyk, K. Myszkowski, A. Serrano, R.K. Mantiuk, in:, Proceedings of the SIGGRAPH Asia 2023 Conference, Association for Computing Machinery, 2023. conference: end_date: 2023-12-15 location: Sydney, Australia name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference' start_date: 2023-12-12 date_created: 2024-01-14T23:00:57Z date_published: 2023-12-10T00:00:00Z date_updated: 2024-01-17T08:38:35Z day: '10' ddc: - '000' department: - _id: BeBi doi: 10.1145/3610548.3618226 file: - access_level: open_access checksum: 8abe27432ed222b50d1af9b3388db1b0 content_type: application/pdf creator: dernst date_created: 2024-01-17T08:33:06Z date_updated: 2024-01-17T08:33:06Z file_id: '14823' file_name: 2023_SA_Chen.pdf file_size: 95967451 relation: main_file success: 1 file_date_updated: 2024-01-17T08:33:06Z has_accepted_license: '1' language: - iso: eng month: '12' oa: 1 oa_version: Published Version project: - _id: eb901961-77a9-11ec-83b8-f5c883a62027 grant_number: M03319 name: Perception-Aware Appearance Fabrication publication: Proceedings of the SIGGRAPH Asia 2023 Conference publication_identifier: isbn: - '9798400703157' publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' scopus_import: '1' status: public title: The effect of display capabilities on the gloss consistency between real and virtual objects 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: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- _id: '12984' abstract: - lang: eng text: Tattoos are a highly popular medium, with both artistic and medical applications. Although the mechanical process of tattoo application has evolved historically, the results are reliant on the artisanal skill of the artist. This can be especially challenging for some skin tones, or in cases where artists lack experience. We provide the first systematic overview of tattooing as a computational fabrication technique. We built an automated tattooing rig and a recipe for the creation of silicone sheets mimicking realistic skin tones, which allowed us to create an accurate model predicting tattoo appearance. This enables several exciting applications including tattoo previewing, color retargeting, novel ink spectra optimization, color-accurate prosthetics, and more. acknowledged_ssus: - _id: M-Shop acknowledgement: We thank Todor Asenov and the Miba Machine Shop for their help in assembling the tattoo machine and manufacturing the substrates. We thank Geysler Rodrigues for the insightful discussions on tattooing practices from a professional artist's perspective. We thank Maria Fernanda Portugal for sharing a doctor's perspective on medical applications of tattoos. This work is graciously supported by the FWF Lise Meitner (Grant M 3319). article_number: '67' article_processing_charge: No article_type: original author: - first_name: Michael full_name: Piovarci, Michael id: 62E473F4-5C99-11EA-A40E-AF823DDC885E last_name: Piovarci orcid: 0000-0002-5062-4474 - first_name: Alexandre full_name: Chapiro, Alexandre last_name: Chapiro - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 citation: ama: 'Piovarci M, Chapiro A, Bickel B. Skin-Screen: A computational fabrication framework for color tattoos. Transactions on Graphics. 2023;42(4). doi:10.1145/3592432' apa: 'Piovarci, M., Chapiro, A., & Bickel, B. (2023). Skin-Screen: A computational fabrication framework for color tattoos. Transactions on Graphics. Los Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3592432' chicago: 'Piovarci, Michael, Alexandre Chapiro, and Bernd Bickel. “Skin-Screen: A Computational Fabrication Framework for Color Tattoos.” Transactions on Graphics. Association for Computing Machinery, 2023. https://doi.org/10.1145/3592432.' ieee: 'M. Piovarci, A. Chapiro, and B. Bickel, “Skin-Screen: A computational fabrication framework for color tattoos,” Transactions on Graphics, vol. 42, no. 4. Association for Computing Machinery, 2023.' ista: 'Piovarci M, Chapiro A, Bickel B. 2023. Skin-Screen: A computational fabrication framework for color tattoos. Transactions on Graphics. 42(4), 67.' mla: 'Piovarci, Michael, et al. “Skin-Screen: A Computational Fabrication Framework for Color Tattoos.” Transactions on Graphics, vol. 42, no. 4, 67, Association for Computing Machinery, 2023, doi:10.1145/3592432.' short: M. Piovarci, A. Chapiro, B. Bickel, Transactions on Graphics 42 (2023). conference: end_date: 2023-08-10 location: Los Angeles, CA, United States name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference' start_date: 2023-08-06 date_created: 2023-05-16T09:39:14Z date_published: 2023-07-26T00:00:00Z date_updated: 2024-01-29T10:27:23Z day: '26' ddc: - '004' department: - _id: BeBi doi: 10.1145/3592432 external_id: isi: - '001044671300033' file: - access_level: open_access checksum: 5f0a6867689e025a661bd0b4fd90b821 content_type: application/pdf creator: mpiovarc date_created: 2023-05-16T09:38:25Z date_updated: 2023-05-16T09:38:25Z file_id: '12985' file_name: Piovarci2023.pdf file_size: 30817343 relation: main_file success: 1 file_date_updated: 2023-05-16T09:38:25Z has_accepted_license: '1' intvolume: ' 42' isi: 1 issue: '4' keyword: - appearance - modeling - reproduction - tattoo - skin color - gamut mapping - ink-optimization - prosthetic language: - iso: eng month: '07' oa: 1 oa_version: Submitted Version project: - _id: eb901961-77a9-11ec-83b8-f5c883a62027 grant_number: M03319 name: Perception-Aware Appearance Fabrication publication: 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: 'Skin-Screen: A computational fabrication framework for color tattoos' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 42 year: '2023' ... --- _id: '12979' abstract: - lang: eng text: 'Color and gloss are fundamental aspects of surface appearance. State-of-the-art fabrication techniques can manipulate both properties of the printed 3D objects. However, in the context of appearance reproduction, perceptual aspects of color and gloss are usually handled separately, even though previous perceptual studies suggest their interaction. Our work is motivated by previous studies demonstrating a perceived color shift due to a change in the object''s gloss, i.e., two samples with the same color but different surface gloss appear as they have different colors. In this paper, we conduct new experiments which support this observation and provide insights into the magnitude and direction of the perceived color change. We use the observations as guidance to design a new method that estimates and corrects the color shift enabling the fabrication of objects with the same perceived color but different surface gloss. We formulate the problem as an optimization procedure solved using differentiable rendering. We evaluate the effectiveness of our method in perceptual experiments with 3D objects fabricated using a multi-material 3D printer and demonstrate potential applications. ' acknowledgement: We thank Matthew S Zurawski for the 3D model of the car speed shape. This research has been supported by the Swiss National Science Foundation (SNSF, Grant 200502) and the FWF Lise Meitner (Grant M 3319). article_number: '21' article_processing_charge: No author: - first_name: Jorge full_name: Condor, Jorge last_name: Condor - first_name: Michael full_name: Piovarci, Michael id: 62E473F4-5C99-11EA-A40E-AF823DDC885E last_name: Piovarci orcid: 0000-0002-5062-4474 - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 - first_name: Piotr full_name: Didyk, Piotr last_name: Didyk citation: ama: 'Condor J, Piovarci M, Bickel B, Didyk P. Gloss-aware color correction for 3D printing. In: SIGGRAPH ’23 Conference Proceedings. Association for Computing Machinery; 2023. doi:10.1145/3588432.3591546' apa: 'Condor, J., Piovarci, M., Bickel, B., & Didyk, P. (2023). Gloss-aware color correction for 3D printing. In SIGGRAPH ’23 Conference Proceedings. Los Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3588432.3591546' chicago: Condor, Jorge, Michael Piovarci, Bernd Bickel, and Piotr Didyk. “Gloss-Aware Color Correction for 3D Printing.” In SIGGRAPH ’23 Conference Proceedings. Association for Computing Machinery, 2023. https://doi.org/10.1145/3588432.3591546. ieee: J. Condor, M. Piovarci, B. Bickel, and P. Didyk, “Gloss-aware color correction for 3D printing,” in SIGGRAPH ’23 Conference Proceedings, Los Angeles, CA, United States, 2023. ista: 'Condor J, Piovarci M, Bickel B, Didyk P. 2023. Gloss-aware color correction for 3D printing. SIGGRAPH ’23 Conference Proceedings. SIGGRAPH: Computer Graphics and Interactive Techniques Conference, 21.' mla: Condor, Jorge, et al. “Gloss-Aware Color Correction for 3D Printing.” SIGGRAPH ’23 Conference Proceedings, 21, Association for Computing Machinery, 2023, doi:10.1145/3588432.3591546. short: J. Condor, M. Piovarci, B. Bickel, P. Didyk, in:, SIGGRAPH ’23 Conference Proceedings, Association for Computing Machinery, 2023. conference: end_date: 2023-08-10 location: Los Angeles, CA, United States name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference' start_date: 2023-08-06 date_created: 2023-05-16T09:34:13Z date_published: 2023-07-23T00:00:00Z date_updated: 2024-02-28T12:52:04Z day: '23' ddc: - '004' department: - _id: BeBi doi: 10.1145/3588432.3591546 external_id: isi: - '001117690500021' file: - access_level: open_access checksum: 84a437739af5d46507928939b20c0c28 content_type: application/pdf creator: mpiovarc date_created: 2023-05-16T09:32:50Z date_updated: 2023-05-16T09:32:50Z file_id: '12983' file_name: Condor2023_supplemental.pdf file_size: 42323971 relation: main_file success: 1 - access_level: open_access checksum: 0f5c8b242e8e7c153c04888c4d0c6f37 content_type: application/pdf creator: dernst date_created: 2024-01-29T10:14:10Z date_updated: 2024-01-29T10:14:10Z file_id: '14893' file_name: 2023_Siggraph_Condor.pdf file_size: 26079404 relation: main_file success: 1 file_date_updated: 2024-01-29T10:14:10Z has_accepted_license: '1' isi: 1 keyword: - color - gloss - perception - color compensation - color management language: - iso: eng month: '07' oa: 1 oa_version: Published Version project: - _id: eb901961-77a9-11ec-83b8-f5c883a62027 grant_number: M03319 name: Perception-Aware Appearance Fabrication publication: SIGGRAPH ’23 Conference Proceedings publication_identifier: isbn: - '9798400701597' publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' status: public title: Gloss-aware color correction 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: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- _id: '12135' abstract: - lang: eng text: A good match of material appearance between real-world objects and their digital on-screen representations is critical for many applications such as fabrication, design, and e-commerce. However, faithful appearance reproduction is challenging, especially for complex phenomena, such as gloss. In most cases, the view-dependent nature of gloss and the range of luminance values required for reproducing glossy materials exceeds the current capabilities of display devices. As a result, appearance reproduction poses significant problems even with accurately rendered images. This paper studies the gap between the gloss perceived from real-world objects and their digital counterparts. Based on our psychophysical experiments on a wide range of 3D printed samples and their corresponding photographs, we derive insights on the influence of geometry, illumination, and the display’s brightness and measure the change in gloss appearance due to the display limitations. Our evaluation experiments demonstrate that using the prediction to correct material parameters in a rendering system improves the match of gloss appearance between real objects and their visualization on a display device. acknowledgement: This work is supported by FWF Lise Meitner (Grant M 3319), European Research Council (project CHAMELEON, Grant no. 682080), Swiss National Science Foundation (Grant no. 200502), and academic gifts from Meta. article_number: '35' article_processing_charge: No author: - first_name: Bin full_name: Chen, Bin last_name: Chen - first_name: Michael full_name: Piovarci, Michael id: 62E473F4-5C99-11EA-A40E-AF823DDC885E last_name: Piovarci - first_name: Chao full_name: Wang, Chao last_name: Wang - 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, Piovarci M, Wang C, et al. Gloss management for consistent reproduction of real and virtual objects. In: SIGGRAPH Asia 2022 Conference Papers. Vol 2022. Association for Computing Machinery; 2022. doi:10.1145/3550469.3555406' apa: 'Chen, B., Piovarci, M., Wang, C., Seidel, H.-P., Didyk, P., Myszkowski, K., & Serrano, A. (2022). Gloss management for consistent reproduction of real and virtual objects. In SIGGRAPH Asia 2022 Conference Papers (Vol. 2022). Daegu, South Korea: Association for Computing Machinery. https://doi.org/10.1145/3550469.3555406' chicago: Chen, Bin, Michael Piovarci, Chao Wang, Hans-Peter Seidel, Piotr Didyk, Karol Myszkowski, and Ana Serrano. “Gloss Management for Consistent Reproduction of Real and Virtual Objects.” In SIGGRAPH Asia 2022 Conference Papers, Vol. 2022. Association for Computing Machinery, 2022. https://doi.org/10.1145/3550469.3555406. ieee: B. Chen et al., “Gloss management for consistent reproduction of real and virtual objects,” in SIGGRAPH Asia 2022 Conference Papers, Daegu, South Korea, 2022, vol. 2022. ista: 'Chen B, Piovarci M, Wang C, Seidel H-P, Didyk P, Myszkowski K, Serrano A. 2022. Gloss management for consistent reproduction of real and virtual objects. SIGGRAPH Asia 2022 Conference Papers. SIGGRAPH: Computer Graphics and Interactive Techniques Conference vol. 2022, 35.' mla: Chen, Bin, et al. “Gloss Management for Consistent Reproduction of Real and Virtual Objects.” SIGGRAPH Asia 2022 Conference Papers, vol. 2022, 35, Association for Computing Machinery, 2022, doi:10.1145/3550469.3555406. short: B. Chen, M. Piovarci, C. Wang, H.-P. Seidel, P. Didyk, K. Myszkowski, A. Serrano, in:, SIGGRAPH Asia 2022 Conference Papers, Association for Computing Machinery, 2022. conference: end_date: 2022-12-09 location: Daegu, South Korea name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference' start_date: 2022-12-06 date_created: 2023-01-12T12:03:56Z date_published: 2022-11-01T00:00:00Z date_updated: 2023-02-13T09:15:25Z day: '01' ddc: - '000' department: - _id: BeBi doi: 10.1145/3550469.3555406 file: - access_level: open_access checksum: f47f3215ab8bb919e3546b3438c34c21 content_type: application/pdf creator: dernst date_created: 2023-01-24T07:35:21Z date_updated: 2023-01-24T07:35:21Z file_id: '12351' file_name: 2022_ACM_SIGGRAPH_Chen.pdf file_size: 28826826 relation: main_file success: 1 file_date_updated: 2023-01-24T07:35:21Z has_accepted_license: '1' intvolume: ' 2022' language: - iso: eng month: '11' oa: 1 oa_version: Published Version project: - _id: eb901961-77a9-11ec-83b8-f5c883a62027 grant_number: M03319 name: Perception-Aware Appearance Fabrication publication: SIGGRAPH Asia 2022 Conference Papers publication_identifier: isbn: - '9781450394703' publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' scopus_import: '1' status: public title: Gloss management for consistent reproduction of real and virtual objects 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: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2022 year: '2022' ... --- _id: '11442' abstract: - lang: eng text: "Enabling additive manufacturing to employ a wide range of novel, functional materials can be a major boost to this technology. However, making such materials printable requires painstaking trial-and-error by an expert operator,\r\nas they typically tend to exhibit peculiar rheological or hysteresis properties. Even in the case of successfully finding the process parameters, there is no guarantee of print-to-print consistency due to material differences between batches. These challenges make closed-loop feedback an attractive option where the process parameters are adjusted on-the-fly. There are several challenges for designing an efficient controller: the deposition parameters are complex and highly coupled, artifacts occur after long time horizons, simulating the deposition is computationally costly, and learning on hardware is intractable. In this work, we demonstrate the feasibility of learning a closed-loop control policy for additive manufacturing using reinforcement learning. We show that approximate, but efficient, numerical simulation is\r\nsufficient as long as it allows learning the behavioral patterns of deposition that translate to real-world experiences. In combination with reinforcement learning, our model can be used to discover control policies that outperform\r\nbaseline controllers. Furthermore, the recovered policies have a minimal sim-to-real gap. We showcase this by applying our control policy in-vivo on a single-layer, direct ink writing printer. " acknowledgement: "This work is graciously supported by the following grant agencies: FWF Lise Meitner (Grant M 3319), SNSF (Grant 200502), ERC Starting Grant (MATERIALIZABLE-715767), NSF (Grant IIS-181507).\r\n" article_number: '112' article_processing_charge: No article_type: original author: - first_name: Michael full_name: Piovarci, Michael id: 62E473F4-5C99-11EA-A40E-AF823DDC885E last_name: Piovarci - first_name: Michael full_name: Foshey, Michael last_name: Foshey - first_name: Jie full_name: Xu, Jie last_name: Xu - first_name: Timothy full_name: Erps, Timothy last_name: Erps - first_name: Vahid full_name: Babaei, Vahid last_name: Babaei - first_name: Piotr full_name: Didyk, Piotr last_name: Didyk - first_name: Szymon full_name: Rusinkiewicz, Szymon last_name: Rusinkiewicz - first_name: Wojciech full_name: Matusik, Wojciech last_name: Matusik - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 citation: ama: Piovarci M, Foshey M, Xu J, et al. Closed-loop control of direct ink writing via reinforcement learning. ACM Transactions on Graphics. 2022;41(4). doi:10.1145/3528223.3530144 apa: Piovarci, M., Foshey, M., Xu, J., Erps, T., Babaei, V., Didyk, P., … Bickel, B. (2022). Closed-loop control of direct ink writing via reinforcement learning. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3528223.3530144 chicago: Piovarci, Michael, Michael Foshey, Jie Xu, Timothy Erps, Vahid Babaei, Piotr Didyk, Szymon Rusinkiewicz, Wojciech Matusik, and Bernd Bickel. “Closed-Loop Control of Direct Ink Writing via Reinforcement Learning.” ACM Transactions on Graphics. Association for Computing Machinery, 2022. https://doi.org/10.1145/3528223.3530144. ieee: M. Piovarci et al., “Closed-loop control of direct ink writing via reinforcement learning,” ACM Transactions on Graphics, vol. 41, no. 4. Association for Computing Machinery, 2022. ista: Piovarci M, Foshey M, Xu J, Erps T, Babaei V, Didyk P, Rusinkiewicz S, Matusik W, Bickel B. 2022. Closed-loop control of direct ink writing via reinforcement learning. ACM Transactions on Graphics. 41(4), 112. mla: Piovarci, Michael, et al. “Closed-Loop Control of Direct Ink Writing via Reinforcement Learning.” ACM Transactions on Graphics, vol. 41, no. 4, 112, Association for Computing Machinery, 2022, doi:10.1145/3528223.3530144. short: M. Piovarci, M. Foshey, J. Xu, T. Erps, V. Babaei, P. Didyk, S. Rusinkiewicz, W. Matusik, B. Bickel, ACM Transactions on Graphics 41 (2022). date_created: 2022-06-10T06:41:47Z date_published: 2022-06-01T00:00:00Z date_updated: 2023-05-31T12:38:21Z day: '01' ddc: - '000' department: - _id: BeBi doi: 10.1145/3528223.3530144 ec_funded: 1 external_id: arxiv: - '2201.11819' file: - access_level: open_access checksum: 27f6fe41c6ff84d50445cc9b0176d45b content_type: application/pdf creator: dernst date_created: 2022-06-28T08:32:58Z date_updated: 2022-06-28T08:32:58Z file_id: '11467' file_name: 2022_ACM_acceptedversion_Piovarci.pdf file_size: 33994829 relation: main_file success: 1 file_date_updated: 2022-06-28T08:32:58Z has_accepted_license: '1' intvolume: ' 41' issue: '4' language: - iso: eng month: '06' oa: 1 oa_version: Submitted Version project: - _id: eb901961-77a9-11ec-83b8-f5c883a62027 grant_number: M03319 name: Perception-Aware Appearance Fabrication - _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 ISTA website relation: press_release url: https://ista.ac.at/en/news/machine-learning-3d-printing-fluids/ status: public title: Closed-loop control of direct ink writing via reinforcement learning 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: 41 year: '2022' ... --- _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: '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: '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' ...