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dc.contributor.authorWiesenhütter, Daniel
dc.contributor.authorKlein, Andreas
dc.contributor.authorNischwitz, Alfred
dc.contributor.editorSkala, Václav
dc.date.accessioned2014-01-08T06:39:29Z
dc.date.available2014-01-08T06:39:29Z
dc.date.issued2013
dc.identifier.citationJournal of WSCG. 2013, vol. 21, no. 1, p. 31-40.en
dc.identifier.issn1213–6972 (hardcopy)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213–6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2013/!_2013_J_WSCG-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/6875
dc.description.abstractIn this paper, we propose a method to reduce the amount of shadow maps required for rendering shadows in scenes with many lights. Our idea is to use the spatial relationship of lights to find clusters and replace the lights of a cluster with a single area light. We use a soft shadow algorithm for area lights to approximate the shadows for the clusters. By carefully placing the cluster centers, we can minimize the errors in the shadows. While the clustering only adds a small overhead in the worst case, it can efficiently reduce the number of shadow maps. Thus, in many cases the resulting error in shadows is acceptable compared to the increase in rendering performance.en
dc.format10 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.subjectklastrování světlacs
dc.subjectmapování stínůcs
dc.subjectměkké stínycs
dc.subjectvizualizacecs
dc.titleLightCluster - Clustering Lights to Accelerate Shadow Computationen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedlight clusteringen
dc.subject.translatedshadow mappingen
dc.subject.translatedsoft shadowsen
dc.subject.translatedvisualizationen
dc.type.statusPeer-revieweden
Appears in Collections:Volume 21, Number 1 (2013)

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