Towards a Principled Kernel Prediction for Spatially Varying BSSRDFs

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dc.contributor.authorElek, Oskaren_US
dc.contributor.authorKrivánek, Jaroslaven_US
dc.contributor.editorReinhard Klein and Holly Rushmeieren_US
dc.date.accessioned2018-08-29T06:56:38Z
dc.date.available2018-08-29T06:56:38Z
dc.date.issued2018
dc.description.abstractWhile 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.en_US
dc.description.sectionheadersThermal Infrared, SVB*F and Benchmarking
dc.description.seriesinformationWorkshop on Material Appearance Modeling
dc.identifier.doi10.2312/mam.20181200
dc.identifier.isbn978-3-03868-055-0
dc.identifier.issn2309-5059
dc.identifier.pages45-49
dc.identifier.urihttps://doi.org/10.2312/mam.20181200
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/mam20181200
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.7 [Computer Graphics]
dc.subjectThree Dimensional Graphics and Realism
dc.subject
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.titleTowards a Principled Kernel Prediction for Spatially Varying BSSRDFsen_US
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MAM2018: Eurographics Workshop on Material Appearance Modeling