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DC poleHodnotaJazyk
dc.contributor.authorAngelelli, Paolo
dc.contributor.authorBruckner, Stefan
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-01-07T08:40:30Z
dc.date.available2016-01-07T08:40:30Z
dc.date.issued2015
dc.identifier.citationJournal of WSCG. 2015, vol. 23, no. 1, p. 131-138.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-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17150
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.subjectobjemové vykreslovánícs
dc.subjectglobální osvětlenícs
dc.subjectvědecká vizualizacecs
dc.subjectlékařská vizualizacecs
dc.titlePerformance and quality analysis of convolution-based volume illuminationen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedConvolution-based techniques for volume rendering are among the fastest in the on-the-fly volumetric illumination category. Such methods, however, are still considerably slower than conventional local illumination techniques. In this paper we describe how to adapt two commonly used strategies for reducing aliasing artifacts, namely pre-integration and supersampling, to such techniques. These strategies can help reduce the sampling rate of the lighting information (thus the number of convolutions), bringing considerable performance benefits. We present a comparative analysis of their effectiveness in offering performance improvements. We also analyze the (negligible) differences they introduce when comparing their output to the reference method. These strategies can be highly beneficial in setups where direct volume rendering of continuously streaming data is desired and continuous recomputation of full lighting information is too expensive, or where memory constraints make it preferable not to keep additional precomputed volumetric data in memory. In such situations these strategies make single pass, convolution-based volumetric illumination models viable for a broader range of applications, and this paper provides practical guidelines for using and tuning such strategies to specific use cases.en
dc.subject.translatedvolume renderingen
dc.subject.translatedglobal illuminationen
dc.subject.translatedscientific visualizationen
dc.subject.translatedmedical visualizationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 23, Number 2 (2015)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 23 (2015)
  6. Volume 23, Number 2 (2015)