Toward a psychophysically-based light reflection model for image synthesis

By Fabio Pellacini, James A. Ferwerda, Donald P. Greenberg. International Conference on Computer Graphics and Interactive Techniques, 2000

314 citations recorded by the source corpus.

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.

Subfields: Atomic and Molecular Physics, and Optics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/1093f06b53c32d7af40e43c4fdba7b0365116f94

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In Atomic and Molecular Physics, and Optics

In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

Citations in the corpus

Human factors in visualization research (2004, unknown): “developed a perceptually meaningful model of surface gloss [57] and Ferwerda et al.”
Recognizing Materials Using Perceptually Inspired Features (2013, methodology): “…(Robilotto and Zaidi 2004; Motoyoshi et al. 2007; Sharan et al. 2008) as well as synthetic images created by sophisticated graphics software (Pellacini et al. 2000; Fleming et al. 2003; Nishida and Shinya 1998; Todd et al. 2004; Ho et al. 2008; Xiao and Brainard 2008) have been employed to…”
Real-world illumination and the perception of surface reflectance properties. (2003, methodology): “The scales of these parameters were adjusted to form a perceptually uniform space, using the nonlinear scaling proposed by Pellacini et al. (2000) Spheres rendered under each of the real-world illuminations used in the matching experiments.”