A Genetic Algorithm Based Heterogeneous Subsurface Scattering Representation

dc.contributor.authorKurt, Muraten_US
dc.contributor.editorKlein, Reinhard and Rushmeier, Hollyen_US
dc.date.accessioned2020-08-23T17:39:15Z
dc.date.available2020-08-23T17:39:15Z
dc.date.issued2020
dc.description.abstractIn this paper, we present a novel heterogeneous subsurface scattering (sss) representation, which is based on a combination of Singular Value Decomposition (SVD) and genetic optimization techniques. To find the best transformation that is applied to measured subsurface scattering data, we use a genetic optimization framework, which tries various transformations to the measured heterogeneous subsurface scattering data to find the fittest one. After we apply the best transformation, we compactly represent measured subsurface scattering data by separately applying the SVD per-color channel of the transformed profiles. In order to get a compact and accurate representation, we apply the SVD on the model errors, iteratively. We validate our approach on a range of optically thick, real-world translucent materials. It's shown that our genetic algorithm based heterogeneous subsurface scattering representation achieves greater visual accuracy than alternative techniques for the same level of compression.en_US
dc.description.sectionheadersSubsurface Scattering Issues
dc.description.seriesinformationWorkshop on Material Appearance Modeling
dc.identifier.doi10.2312/mam.20201140
dc.identifier.isbn978-3-03868-108-3
dc.identifier.issn2309-5059
dc.identifier.pages13-16
dc.identifier.urihttps://doi.org/10.2312/mam.20201140
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/mam20201140
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.7 [Computer Graphics]
dc.subjectThree Dimensional Graphics and Realism
dc.subjectColor
dc.subjectshading
dc.subjectshadowing
dc.subjectand texture
dc.titleA Genetic Algorithm Based Heterogeneous Subsurface Scattering Representationen_US
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