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DC poleHodnotaJazyk
dc.contributor.authorYoshida, Hiroshi
dc.contributor.authorNabata, Kosuke
dc.contributor.authorIwasaki, Kei
dc.contributor.authorDobashi, Yoshinori
dc.contributor.authorNishita, Tomoyuki
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-01-07T08:10:10Z
dc.date.available2016-01-07T08:10:10Z
dc.date.issued2015
dc.identifier.citationJournal of WSCG. 2015, vol. 23, no. 1, p. 65-71.en
dc.identifier.issn1213–6972 (hardcopy)
dc.identifier.issn1213–6980 (CD-ROM)
dc.identifier.issn1213–6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2015/!_2015_Journal_WSCG-No-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17147
dc.format7 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.subjectglobální osvětlenícs
dc.subjectvykreslovánícs
dc.subjectvýznam vzorkovánícs
dc.subjectvýznam mezipamětics
dc.titleAdaptive importance caching for many-light renderingen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedImportance sampling of virtual point lights (VPLs) is an efficient method for computing global illumination. The key to importance sampling is to construct the probability function, which is used to sample the VPLs, such that it is proportional to the distribution of contributions from all the VPLs. Importance caching records the contributions of all the VPLs at sparsely distributed cache points on the surfaces and the probability function is calculated by interpolating the cached data. Importance caching, however, distributes cache points randomly, which makes it difficult to obtain probability functions proportional to the contributions of VPLs where the variation in the VPL contribution at nearby cache points is large. This paper proposes an adaptive cache insertion method for VPL sampling. Our method exploits the spatial and directional correlations of shading points and surface normals to enhance the proportionality. The method detects cache points that have large variations in their contribution from VPLs and inserts additional cache points with a small overhead. In equal-time comparisons including cache point generation and rendering, we demonstrate that the images rendered with our method are less noisy compared to importance caching.en
dc.subject.translatedglobal illuminationen
dc.subject.translatedrenderingen
dc.subject.translatedimportance samplingen
dc.subject.translatedimportance cachingen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 23, Number 1 (2015)

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