A General BRDF Representation Based on Tensor Decomposition
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Date
2011
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The Eurographics Association and Blackwell Publishing Ltd.
Abstract
Generating photo‐realistic images through Monte Carlo rendering requires efficient representation of light–surface interaction and techniques for importance sampling. Various models with good representation abilities have been developed but only a few of them have their importance sampling procedure. In this paper, we propose a method which provides a good bidirectional reflectance distribution function (BRDF) representation and efficient importance sampling procedure. Our method is based on representing BRDF as a function of tensor products. Four‐dimensional measured BRDF tensor data are factorized using Tucker decomposition. A large data set is used for comparing the proposed BRDF model with a number of well‐known BRDF models. It is shown that the underlying model provides good approximation to BRDFs.
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@article{10.1111:j.1467-8659.2011.02072.x,
journal = {Computer Graphics Forum},
title = {{A General BRDF Representation Based on Tensor Decomposition}},
author = {Bilgili, Ahmet and Öztürk, Aydn and Kurt, Murat},
year = {2011},
publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/j.1467-8659.2011.02072.x}
}