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ABSTRACT
In this paper we introduce a new light reflection model for image synthesis based on experimental studies of surface gloss perception. To develop the model, we've conducted two experiments that explore the relationships between the physical parameters used to describe the reflectance properties of glossy surfaces and the perceptual dimensions of glossy appearance. In the first experiment we use multidimensional scaling techniques to reveal the dimensionality of gloss perception for simulated painted surfaces. In the second experiment we use magnitude estimation methods to place metrics on these dimensions that relate changes in apparent gloss to variations in surface reflectance properties. We use the results of these experiments to rewrite the parameters of a physically-based light reflection model in perceptual terms. The result is a new psychophysically-based light reflection model where the dimensions of the model are perceptually meaningful, and variations along the dimensions are perceptually uniform. We demonstrate that the model can facilitate describing surface gloss in graphics rendering applications. This work represents a new methodology for developing light reflection models for image synthesis.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 23
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Andrew T. Duchowski , David Bate , Paris Stringfellow , Kaveri Thakur , Brian J. Melloy , Anand K. Gramopadhye, On spatiochromatic visual sensitivity and peripheral color LOD management, ACM Transactions on Applied Perception (TAP), v.6 n.2, p.1-18, February 2009
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David Grelaud , Nicolas Bonneel , Michael Wimmer , Manuel Asselot , George Drettakis, Efficient and practical audio-visual rendering for games using crossmodal perception, Proceedings of the 2009 symposium on Interactive 3D graphics and games, February 27-March 01, 2009, Boston, Massachusetts
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INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.3
COMPUTER GRAPHICS
Additional Classification:
H.
Information Systems
H.1
MODELS AND PRINCIPLES
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.10
Vision and Scene Understanding
Subjects:
Modeling and recovery of physical attributes
I.3
COMPUTER GRAPHICS
I.3.3
Picture/Image Generation
Subjects:
Display algorithms
I.3.5
Computational Geometry and Object Modeling
Subjects:
Physically based modeling
General Terms:
Algorithms,
Design,
Experimentation,
Human Factors,
Measurement,
Performance,
Theory
Keywords:
experimentation,
gloss,
human factors,
light reflection models,
visual perception
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