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Green Image
Issue No. 07 - July (2011 vol. 33)
ISSN: 0162-8828
pp: 1356-1369
Yu-Ting Tsai , Yuan Ze University, Chung-Li City
Kuei-Li Fang , National Chiao Tung University, Hsinchu
Wen-Chieh Lin , National Chiao Tung University, Hsinchu
Zen-Chung Shih , National Chiao Tung University, Hsinchu
This paper presents a novel parametric representation for bidirectional texture functions. Our method mainly relies on two original techniques, namely, multivariate spherical radial basis functions (SRBFs) and optimized parameterization. First, since the surface appearance of a real-world object is frequently a mixed effect of different physical factors, the proposed sum-of-products model based on multivariate SRBFs especially provides an intrinsic and efficient representation for heterogenous materials. Second, optimized parameterization particularly aims at overcoming the major disadvantage of traditional fixed parameterization. By using a parametric model to account for variable transformations, the parameterization process can be tightly integrated with multivariate SRBFs into a unified framework. Finally, a hierarchical fitting algorithm for bidirectional texture functions is developed to exploit spatial coherence and reduce computational cost. Our experimental results further reveal that the proposed representation can easily achieve high-quality approximation and real-time rendering performance.
Reflectance and shading models, bidirectional texture functions, parameterization, spherical radial basis functions.

W. Lin, K. Fang, Y. Tsai and Z. Shih, "Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 33, no. , pp. 1356-1369, 2010.
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