Non-linear approximation of reflectance functions
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
An anisotropic phong BRDF model
Journal of Graphics Tools
Video Codec Design: Developing Image and Video Compression Systems
Video Codec Design: Developing Image and Video Compression Systems
IEEE Computational Science & Engineering
A data-driven reflectance model
ACM SIGGRAPH 2003 Papers
Physically Based Rendering: From Theory to Implementation
Physically Based Rendering: From Theory to Implementation
Efficient BRDF importance sampling using a factored representation
ACM SIGGRAPH 2004 Papers
The halfway vector disk for BRDF modeling
ACM Transactions on Graphics (TOG)
An Introduction to Copulas (Springer Series in Statistics)
An Introduction to Copulas (Springer Series in Statistics)
A new ward BRDF model with bounded albedo
EGSR'10 Proceedings of the 21st Eurographics conference on Rendering
Experimental analysis of BRDF models
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
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Bidirectional Reflectance Distribution Functions (BRDFs) are well-known functions in computer graphics, and these special functions represent the surface reflectance of materials. BRDFs can be viewed as multivariate probability density function (pdf) of incoming photons leaving in a particular outgoing direction. However, constructing a multivariate probability distribution for modeling a given BRDF is difficult. A family of distributions, namely Copula distributions have been used to approximate BRDF. In this work, we employ the Pair-Copula constructions to represent the measured BRDF densities. As the measured BRDF densities have large storage needs, we use Wavelet transforms for a compact BRDF representation. We also compare the proposed BRDF representation with a number of well-known BRDF models, and show that our compact BRDF representation provides good approximation to measured BRDF data.