Gloss management for consistent reproduction of real and virtual objects

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.

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Conference Paper | Published | English

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Author
Chen, Bin; Piovarci, MichalISTA; Wang, Chao; Seidel, Hans-Peter; Didyk, Piotr; Myszkowski, Karol; Serrano, Ana
Department
Abstract
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.
Publishing Year
Date Published
2022-11-01
Proceedings Title
SIGGRAPH Asia 2022 Conference Papers
Publisher
Association for Computing Machinery
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.
Volume
2022
Article Number
35
Conference
SIGGRAPH: Computer Graphics and Interactive Techniques Conference
Conference Location
Daegu, South Korea
Conference Date
2022-12-06 – 2022-12-09
IST-REx-ID

Cite this

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
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
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.
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.
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.
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.
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2023-01-24
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