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dc.contributor.authorKeul, Kevin
dc.contributor.authorMüller, Stefan
dc.contributor.authorLemke, Paul
dc.contributor.editorSkala, Václav
dc.date.accessioned2018-04-10T08:36:51Z-
dc.date.available2018-04-10T08:36:51Z-
dc.date.issued2016
dc.identifier.citationWSCG 2016: full papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 17-25.en
dc.identifier.isbn978-80-86943-57-2
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD-ROM)
dc.identifier.uriwscg.zcu.cz/WSCG2016/!!_CSRN-2601.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29527
dc.description.abstractWe propose an efficient approach to precompute and reuse visibility information based on existing spatial data structures by using a precomputed data structure: the line space. This data structure provides an additional skip condition by checking whether the subnodes in a hierarchical spatial data structures need to check for intersection with the ray. We evaluate this method on different test scenes and show that it is able to achieve a remarkable speed-up by using this skip condition. Furthermore we describe algorithms for fast set-up and traversal in detail and discuss important strategies for this approach.en
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2016: full papers proceedingsen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectvizualizacecs
dc.subjectpočítačová grafikacs
dc.subjecttrasování paprskucs
dc.subjectdatová strukturacs
dc.subjectalgoritmy viditelnostics
dc.titleAccelerating spatial data structures in ray tracing through precomputed line space visibilityen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedvisualizationen
dc.subject.translatedcomputer graphicsen
dc.subject.translatedray tracingen
dc.subject.translateddata structuresen
dc.subject.translatedvisibility algorithmsen
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2016: Full Papers Proceedings

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