Towards a Principled Kernel Prediction for Spatially Varying BSSRDFs

Elek, Oskar; Krivánek, Jaroslav

Towards a Principled Kernel Prediction for Spatially Varying BSSRDFs

Files

045-049.pdf (16.03 MB)

Date

2018

Authors

Elek, Oskar
Krivánek, Jaroslav

Publisher

The Eurographics Association

Abstract

While the modeling of sub-surface translucency using homogeneous BSSRDFs is an established industry standard, applying the same approach to heterogeneous materials is predominantly heuristical. We propose a more principled methodology for obtaining and evaluating a spatially varying BSSRDF, on the basis of the volumetric sub-surface structure of the simulated material. The key ideas enabling this are a simulation-data driven kernel for aggregating the spatially varying material parameters, and a structure-preserving decomposition of the sub-surface transport into a local and a global component. Our current results show significantly improved accuracy for planar materials with spatially varying scattering albedo, with added discussion about extending the approach for general geometries and full heterogeneity of the material parameters.

        @inproceedings{10.2312:mam.20181200
,
booktitle = {Workshop on Material Appearance Modeling
},
editor = {Reinhard Klein and Holly Rushmeier
},
title = {{Towards a Principled Kernel Prediction for Spatially Varying BSSRDFs
}},
author = {Elek, Oskar and 
Krivánek, Jaroslav
},
year = {2018
},
publisher = {The Eurographics Association
},
ISSN = {2309-5059
},
ISBN = {978-3-03868-055-0
},
DOI = {10.2312/mam.20181200
}
}