Article

The influence of shape on the perception of material reflectance

Authors:

Jurgen Laurijssen,

Philip DutréAuthors Info & Claims

SIGGRAPH '07: ACM SIGGRAPH 2007 papers

Pages 77 - es

https://doi.org/10.1145/1275808.1276473

Published: 29 July 2007 Publication History

Abstract

Visual observation is our principal source of information in determining the nature of objects, including shape, material or roughness. The physiological and cognitive processes that resolve visual input into an estimate of the material of an object are influenced by the illumination and the shape of the object. This affects our ability to select materials by observing them on a point-lit sphere, as is common in current 3D modeling applications.

In this paper we present an exploratory psychophysical experiment to study various influences on material discrimination in a realistic setting. The resulting data set is analyzed using a wide range of statistical techniques. Analysis of variance is used to estimate the magnitude of the influence of geometry, and fitted psychometric functions produce significantly diverse material discrimination thresholds across different shapes and materials.

Suggested improvements to traditional material pickers include direct visualization on the target object, environment illumination, and the use of discrimination thresholds as a step size for parameter adjustments.

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References

[1]

Aida, T. 1997. Glossiness of colored papers and its application to specular glossiness measuring instruments. Systems and Computers in Japan 28, 1, 95--112.

[2]

ASTM. 1999. Annual Book of ASTM Standards, volume 06.01. American Society for Testing and Materials.

[3]

Ben-Artzi, A., Overbeck, R., and Ramamoorthi, R. 2006. Real-time BRDF editing in complex lighting. ACM Transactions on Graphics 25, 3, 945--954.

Digital Library

[4]

Brainard, D. H., and Wandell, B. A. 1991. A bilinear model of the illuminant's effect on color appearance. In Computational Models of Visual Processing, M. S. Landy and J. A. Movshon, Eds. MIT Press, 171--186.

[5]

Brainard, D. H., Pelli, D. G., and Robson, T. 2002. Display characterization. In Encyclopedia of Imaging Science and Technology, J. P. Hornak, Ed. Wiley, New York, 172--188.

[6]

Brainard, D. H. 2004. Color constancy. In The Visual Neurosciences, L. M. Chalupa and J. S. Werner, Eds. MIT Press, 948--961.

[7]

Colbert, M., PATTANAIK, S., and Krivanek, J. 2006. BRDF-Shop: Creating physically correct bidirectional reflectance distribution functions. IEEE Computer Graphics and Applications 26, 1, 30--36.

Digital Library

[8]

Debevec, P. E. 1998. Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In Proceedings of ACM SIGGRAPH 98, ACM Press / ACM SIGGRAPH, New York, M. F. Cohen, Ed., Computer Graphics Proceedings, Annual Conference Series, ACM, 189--198.

Digital Library

[9]

Durand, F., Holzschuch, N., Soler, C., Chan, E., and Sillion, F. 2005. A frequency analysis of light transport. ACM Transactions on Graphics 24, 3, 1115--1126.

Digital Library

[10]

Dutré, P., Bala, K., and Bekaert, P. 2006. Advanced Global Illumination, 2nd ed. A K Peters, Natick, MA.

Digital Library

[11]

Efron, B. 1979. Bootstrap methods: another look at the jackknife. Annals of Statistics 7, 1, 1--26.

[12]

Ferwerda, J. A., Pellacini, F., and Greenberg, D. P. 2001. A psychophysically-based model of surface gloss perception. In Proceedings of SPIE Human Vision and Electronic Imaging, 291--301.

[13]

Fleming, R. W., Dror, R. O., and Adelson, E. H. 2003. Real-world illumination and the perception of surface reflectance properties. Journal of Vision 3, 5, 347--368.

[14]

Foster, D. H. 2003. Does colour constancy exist? Trends in Cognitive Sciences 7, 10, 439--443.

[15]

Kruskal, W. H., and Wallis, W. A. 1952. Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association 47, 260, 583--621.

[16]

Longhurst, P., Ledda, P., and Chalmers, A. 2003. Psychophysically based artistic techniques for increased perceived realism of virtual environments. In Proceedings of Afrigraph, Afrigraph, 123--132.

Digital Library

[17]

Matusik, W., Pfister, H., Brand, M., and McMillan, L. 2003. A data-driven reflectance model. ACM Transactions on Graphics 22, 3, 759--769.

Digital Library

[18]

Matusik, W., Pfister, H., Brand, M., and McMillan, L. 2003. Efficient isotropic BRDF measurement. In Proceedings of the 14th Eurographics Symposium on Rendering, P. Dutré, F. Suykens, P. H. Christensen, and D. Cohen-Or, Eds., Eurographics, 241--248.

Digital Library

[19]

Ngan, A., Durand, F., and Matusik, W. 2005. Experimental analysis of BRDF models. In Proceedings of the 16th Eurographics Symposium on Rendering 2005, K. Bala and P. Dutré, Eds., Eurographics, 117--126.

[20]

Ngan, A., Durand, F., and Matusik, W. 2006. Image-driven navigation of analytical BRDF models. In Proceedings of the 17th Eurographics Symposium on Rendering, T. Akenine-Möller and W. Heidrich, Eds., Eurographics, 399--407.

[21]

Nicodemus, F. E., Richmond, J. C., Hsia, J. J., Ginsberg, I. W., and Limperis, T. 1977. Geometrical Considerations and Nomenclature for Reflectance. Monograph 160, National Bureau of Standards.

[22]

Nishida, S., and Shinya, M. 1998. Use of image-based information in judgments of surface-reflectance properties. Journal of the Optical Society of America A: Optics, Image Science & Vision 15, 12, 2951--2965.

[23]

Obein, G., Knoblauch, K., and Viénot, F. 2004. Difference scaling of gloss: Nonlinearity, binocularity, and constancy. Journal of Vision 4, 9, 711--720.

[24]

Palmer, S. E. 1975. Visual perception and world knowledge: Notes on a model of sensory-cognitive interaction. Freeman, San Francisco, 279--307.

[25]

Pellacini, F., Ferwerda, J. A., and Greenberg, D. P. 2000. Toward a psychophysically-based light reflection model for image synthesis. In Proceedings of ACM SIGGRAPH 2000, ACM Press / ACM SIGGRAPH, New York, K. Akeley, Ed., Computer Graphics Proceedings, Annual Conference Series, ACM, 55--64.

Digital Library

[26]

Ramamoorthi, R., Mahajan, D., and Belhumeur, P. 2007. A first-order analysis of lighting, shading, and shadows. ACM Transactions on Graphics 26, 1.

Digital Library

[27]

Ward Larson, G., Rushmeier, H., and Piatko, C. 1997. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 3, 4, 291--306.

Digital Library

[28]

Ward, G. J. 1992. Measuring and modeling anisotropic reflection. Computer Graphics (Proceedings of ACM SIGGRAPH 92) 26, 2, 265--272.

Digital Library

[29]

Weibull, W. 1951. A statistical distribution function of wide applicability. Journal of Applied Mechanics 18, 3, 293--297.

[30]

Westlund, H. B., and Meyer, G. W. 2001. Applying appearance standards to light reflection models. In Proceedings of ACM SIGGRAPH 2001, ACM Press / ACM SIGGRAPH, New York, E. Fiume, Ed., Computer Graphics Proceedings, Annual Conference Series, ACM, 501--510.

Digital Library

[31]

Wichmann, F. A., and Hill, N. J. 2001. The psychometric function: I. Fitting, sampling, and goodness of fit. Perception & Psychophysics 63, 8, 1293--1313.

[32]

Wichmann, F. A., and Hill, N. J. 2001. The psychometric function: II. Bootstrap-based confidence intervals and sampling. Perception & Psychophysics 63, 8, 1314--1329.

[33]

Xiao, B., and Brainard, D. H. 2006. Color perception of 3D objects: Constancy with respect to variation of surface gloss. In Symposium on Applied Perception in Graphics and Visualisation 2006, ACM, 63--68.

Digital Library

Cited By

Faul FRobbes C(2024)Influence of Fresnel effects on the glossiness and perceived depth of depth-scaled glossy objectsJournal of Vision10.1167/jov.24.13.124:13(1)Online publication date: 2-Dec-2024
https://doi.org/10.1167/jov.24.13.1
Shen CChen CHu X(2024)Scene‐content‐sensitive real‐time adaptive foveated renderingJournal of the Society for Information Display10.1002/jsid.134632:10(703-715)Online publication date: 14-Jul-2024
https://doi.org/10.1002/jsid.1346
Mišiak MFuhrmann ALatoschik M(2023)The Impact of Reflection Approximations on Visual Quality in Virtual RealityACM Symposium on Applied Perception 202310.1145/3605495.3605794(1-11)Online publication date: 5-Aug-2023
https://dl.acm.org/doi/10.1145/3605495.3605794
Show More Cited By

Index Terms

The influence of shape on the perception of material reflectance
1. Applied computing
  1. Law, social and behavioral sciences
2. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing

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cover image ACM Conferences

SIGGRAPH '07: ACM SIGGRAPH 2007 papers

August 2007

1019 pages

ISBN:9781450378369

DOI:10.1145/1275808

Conference Chair:
Marc Levoy

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 29 July 2007

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August 5 - 9, 2007

California, San Diego

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SIGGRAPH '07 Paper Acceptance Rate 108 of 455 submissions, 24%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

Faul FRobbes C(2024)Influence of Fresnel effects on the glossiness and perceived depth of depth-scaled glossy objectsJournal of Vision10.1167/jov.24.13.124:13(1)Online publication date: 2-Dec-2024
https://doi.org/10.1167/jov.24.13.1
Shen CChen CHu X(2024)Scene‐content‐sensitive real‐time adaptive foveated renderingJournal of the Society for Information Display10.1002/jsid.134632:10(703-715)Online publication date: 14-Jul-2024
https://doi.org/10.1002/jsid.1346
Mišiak MFuhrmann ALatoschik M(2023)The Impact of Reflection Approximations on Visual Quality in Virtual RealityACM Symposium on Applied Perception 202310.1145/3605495.3605794(1-11)Online publication date: 5-Aug-2023
https://dl.acm.org/doi/10.1145/3605495.3605794
Subias JLagunas M(2023)In‐the‐wild Material Appearance Editing using Perceptual AttributesComputer Graphics Forum10.1111/cgf.1476542:2(333-345)Online publication date: 23-May-2023
https://doi.org/10.1111/cgf.14765
Gigilashvili DThomas J(2023)Appearance Beyond ColourFundamentals and Applications of Colour Engineering10.1002/9781119827214.ch14(239-257)Online publication date: 11-Oct-2023
https://doi.org/10.1002/9781119827214.ch14
Perroni-Scharf MSunkavalli KEisenmann JHold-Geoffroy Y(2022)Material Swapping for 3D Scenes using a Learnt Material Similarity Measure2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW56347.2022.00221(2033-2042)Online publication date: Jun-2022
https://doi.org/10.1109/CVPRW56347.2022.00221
Niu MLo C(2022)Do we see rendered surface materials differently in virtual reality? A psychophysics-based investigationVirtual Reality10.1007/s10055-021-00613-326:3(1031-1045)Online publication date: 27-Jan-2022
https://doi.org/10.1007/s10055-021-00613-3
Faul F(2021)Perceived roughness of glossy objects: The influence of Fresnel effects and correlated image statisticsJournal of Vision10.1167/jov.21.8.121:8(1)Online publication date: 2-Aug-2021
https://doi.org/10.1167/jov.21.8.1
Delanoy JSerrano AMasia BGutierrez D(2021)Perception of material appearance: A comparison between painted and rendered imagesJournal of Vision10.1167/jov.21.5.1621:5(16)Online publication date: 17-May-2021
https://doi.org/10.1167/jov.21.5.16
Storrs KAnderson BFleming R(2021)Unsupervised learning predicts human perception and misperception of glossNature Human Behaviour10.1038/s41562-021-01097-65:10(1402-1417)Online publication date: 6-May-2021
https://doi.org/10.1038/s41562-021-01097-6
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