A General BRDF Representation Based on Tensor Decomposition

作者：Bilgili Ahmet^*; Ozturk Aydin; Kurt Murat

来源：Computer Graphics Forum, 2011, 30(8): 2427-2439.

DOI：10.1111/j.1467-8659.2011.02072.x

• BRDF representation
• importance sampling
• global illumination
• rendering
• Tucker decomposition

Generating photo-realistic images through Monte Carlo rendering requires efficient representation of lightsurface 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 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.

• 出版日期2011-12