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dc.contributor.authorSbert, Mateuen_US
dc.contributor.authorBrusi, Alexen_US
dc.contributor.authorBekaert, Philippeen_US
dc.contributor.editorDani Lischinski and Greg Ward Larsonen_US
dc.date.accessioned2014-01-27T13:43:49Z
dc.date.available2014-01-27T13:43:49Z
dc.date.issued1999en_US
dc.identifier.isbn3-211-83382-Xen_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGWR/EGWR99/089-094en_US
dc.description.abstractWe present a simple technique that improves the efficiency of random walk algorithms for radiosity. Each generated random walk is used to simultaneously sample two distinct radiosity estimators. The first estimator is the commonly used shooting estimator, in which the radiosity due to self-emitted light at the origin of the random walk is recorded at each subsequently visited patch. With the second estimator, the radiosity due to self-emitted light at subsequent destinations is recorded at each visited patch. Closed formulae for the variance of the involved estimators allow to derive a cheap heuristic for combining the resulting radiosity estimates. Empirical results agree well with the heuristic prediction. A fair error reduction is obtained at a negligible additional cost.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleGathering for Free in RandomWalk Radiosityen_US
dc.description.seriesinformationEurographics Workshop on Renderingen_US


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