11115

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

Ying Song, Wencheng Wang
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2013

@article{song2013data,

   title={A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering},

   author={Song, Ying and Wang, Wencheng},

   year={2013}

}

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We present a new BSSRDF representation for editing measured anisotropic heterogeneous translucent materials, such as veined marble, jade, artificial stones with lighting-blocking discontinuities. Our work is inspired by the SubEdit representation introduced in [1]. Our main contribution is to improve the accuracy of the approximation while keeping it compact and efficient for editing.We decompose the local scattering profile into an isotropic term and an anisotropic term. The isotropic term encodes the scattering range and albedo property, and the anisotropic term encodes the spatial-variant subsurface scattering shape profile. We propose a compact model for the scattering profile based on non-negative matrix factorization, which allows user-guided editing. Experimental results have shown that our model can capture more spatial-anisotropic features than the previous work with similar compression rate.
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