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dc.contributor.authorEhm, Alexander
dc.contributor.authorEderer, Alexander
dc.contributor.authorKlein, Andreas
dc.contributor.authorNischwitz, Alfred
dc.contributor.editorSkala, Václav
dc.contributor.editorGavrilova, Marina
dc.date.accessioned2018-04-09T08:46:17Z-
dc.date.available2018-04-09T08:46:17Z-
dc.date.issued2015
dc.identifier.citationWSCG 2015: full papers proceedings: 23rd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 219-228.en
dc.identifier.isbn978-80-86943-65-7 (print)
dc.identifier.isbn978-80-86943-61-9 (CD-ROM)
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD-ROM)
dc.identifier.uriwscg.zcu.cz/WSCG2015/CSRN-2501.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29520
dc.description.abstractWith shadow mapping the need of a suitable biasing technique due to shadow aliasing is indisputable. Dou et al. [Dou14] introduced a biasing technique that computes the optimal bias adaptively for each fragment. In this paper, we propose enhancements for this algorithm. First, we extend the algorithm for soft shadows, such as percentage closer filtering (PCF) and percentage closer soft shadows (PCSS). Second, we minimize the projective aliasing by introducing a scale factor depending on the ratio between surface and light direction. We show that our enhancements increase the shadow quality and introduce only a small overhead.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2015: full papers proceedingsen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectstínové mapovánícs
dc.subjectadaptivní předpojatostcs
dc.subjectprojektivní falšovánícs
dc.subjectautomatické nastavení zkreslenícs
dc.titleAdaptive depth bias for soft shadowsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedshadow-mappingen
dc.subject.translatedadaptive biasen
dc.subject.translatedprojective aliasingen
dc.subject.translatedautomatic bias adjustmenten
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2015: Full Papers Proceedings

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