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dc.contributor.authorFan, Shaohuaen_US
dc.contributor.authorChenney, Stephenen_US
dc.contributor.authorLai, Yu-chien_US
dc.contributor.editorKavita Bala and Philip Dutreen_US
dc.date.accessioned2014-01-27T14:48:35Z
dc.date.available2014-01-27T14:48:35Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-23-1en_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGWR/EGSR05/127-138en_US
dc.description.abstractWe present Metropolis Photon Sampling (MPS), a visual importance-driven algorithm for populating photon maps. Photon Mapping and other particle tracing algorithms fail if the photons are poorly distributed. Our approach samples light transport paths that join a light to the eye, which accounts for the viewer in the sampling process and provides information to improve photon storage. Paths are sampled with a Metropolis-Hastings algorithm that exploits coherence among important light paths. We also present a technique for including user selected paths in the sampling process without introducing bias. This allows a user to provide hints about important paths or reduce variance in specific parts of the image. We demonstrate MPS with a range of scenes and show quantitative improvements in error over standard Photon Mapping and Metropolis Light Transport.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism Color, shading, shadowing, and textureen_US
dc.titleMetropolis Photon Sampling with Optional User Guidanceen_US
dc.description.seriesinformationEurographics Symposium on Rendering (2005)en_US


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