CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2011 vol.33 Issue No.07  July
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Issue No.07  July (2011 vol.33)
pp: 13561369
KueiLi Fang , National Chiao Tung University, Hsinchu
YuTing Tsai , Yuan Ze University, ChungLi City
ZenChung Shih , National Chiao Tung University, Hsinchu
ABSTRACT
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 realworld object is frequently a mixed effect of different physical factors, the proposed sumofproducts 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 highquality approximation and realtime rendering performance.
INDEX TERMS
Reflectance and shading models, bidirectional texture functions, parameterization, spherical radial basis functions.
CITATION
KueiLi Fang, YuTing Tsai, ZenChung Shih, "Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.33, no. 7, pp. 13561369, July 2011, doi:10.1109/TPAMI.2010.211
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