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dc.contributor.authorPope, Jackson
dc.contributor.authorChalmers, Alan
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-25T06:05:45Z
dc.date.available2015-09-25T06:05:45Z
dc.date.issued2000
dc.identifier.citationJournal of WSCG. 2000, vol. 8, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/wscg2000/wscg_2000_program.htm
dc.identifier.urihttp://hdl.handle.net/11025/15951
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectradiozitacs
dc.subjectstochastikacs
dc.subjectMonte Carlocs
dc.titleImproving hierarchical Monte Carlo radiosity algorithmsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedHierarchical subdivision techniques remove the need for a-priori meshing of surfaces when approximating global illumination. In addition they allow progressive re nement of the solution. However, when subdivision is based upon Monte Carlo methods, due to the stochastic nature of such techniques, subdivision decisions cannot be made unless a su ciently large number of samples have been considered. Shadow boundaries are one of the main features such subdivision algorithms are designed to detect, but mesh elements that are in shadow receive less light, and hence are slower to subdivide. In this paper we investigate methods for modifying the Monte Carlo hierarchical subdivision algorithm to improve the detection of shadow boundaries and caustics.en
dc.subject.translatedradiosityen
dc.subject.translatedstochasticen
dc.subject.translatedMonte Carloen
dc.type.statusPeer-revieweden
Appears in Collections:Volume 8, number 1-3 (2000)

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