Radiosity with Well Distributed Ray Sets

Simple item page
dc.contributor.authorNeumann, Laszloen_US
dc.contributor.authorNeumann, Attilaen_US
dc.contributor.authorBekaert, Philippeen_US
dc.date.accessioned2015-02-15T18:05:27Z
dc.date.available2015-02-15T18:05:27Z
dc.date.issued1997en_US
dc.description.abstractIn this paper we present a new radiosity algorithm, based on the notion of a well distributed ray set (WDRS). A WDRS is a set of rays, connecting mutually visible points and patches, that forms an approximate representation of the radiosity operator and the radiosity distribution. We propose an algorithm that constructs an optimal WDRS for a given accuracy and mesh. The construction is based on discrete importance sampling as in previously proposed stochastic radiosity algorithms, and on quasi Monte Carlo sampling. Quasi Monte Carlo sampling leads to faster convergence rates and the fact that the sampling is deterministic makes it possible to represent the well distributed ray set very efficiently in computer memory. Like previously proposed stochastic radiosity algorithms, the new algorithm is well suited for computing the radiance distribution in very complex diffuse scenes, when it is not feasible to explicitly compute and store form factors as in classical radiosity algorithms. Experiments show that the new algorithm is often more efficient than previously proposed Monte Carlo radiosity algorithms by half an order of magnitude and more.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume16en_US
dc.identifier.doi10.1111/1467-8659.00163en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pagesC261-C269en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.00163en_US
dc.publisherBlackwell Publishers Ltd and the Eurographics Associationen_US
dc.titleRadiosity with Well Distributed Ray Setsen_US
Files
Collections
Issue 3