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Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions
2011
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
doi:10.1109/tpami.2010.211
pmid:21135438
fatcat:gy27xmnzbbgyld6alt4g4ifnee