Compression and Importance Sampling of Near-Field Light Sources

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dc.contributor.authorMas, Alberten_US
dc.contributor.authorMartin, Ignacioen_US
dc.contributor.authorPatow, Gustavoen_US
dc.date.accessioned2015-02-21T13:21:51Z
dc.date.available2015-02-21T13:21:51Z
dc.date.issued2008en_US
dc.description.abstractThis paper presents a method for compressing measured datasets of the near-field emission of physical light sources (represented by raysets). We create a mesh on the bounding surface of the light source that stores illumination information. The mesh is augmented with information about directional distribution and energy density. We have developed a new approach to smoothly generate random samples on the illumination distribution represented by the mesh, and to efficiently handle importance sampling of points and directions. We will show that our representation can compress a 10 million particle rayset into a mesh of a few hundred triangles. We also show that the error of this representation is low, even for very close objects.en_US
dc.description.number8en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01180.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages2013-2027en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01180.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleCompression and Importance Sampling of Near-Field Light Sourcesen_US
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