Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorKobrtek, Jozef
dc.contributor.authorMilet, Tomáš
dc.contributor.authorHerout, Adam
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-21T09:19:50Z
dc.date.available2019-10-21T09:19:50Z
dc.date.issued2019
dc.identifier.citationJournal of WSCG. 2018, vol. 26, no. 1, p. 9-16.en
dc.identifier.issn1213-6964 (on-line)
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.urihttp://hdl.handle.net/11025/35549
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectsilueta extrakcecs
dc.subjectoktalový stromcs
dc.subjectkompresecs
dc.subjectstínové svazkycs
dc.titleSilhouette Extraction for Shadow Volumes Using Potentially Visible Setsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper, we present a novel approach for accelerated silhouette computation based on potentially visible sets stored in the octree acceleration structure. The scene space, where the light source can appear, is subdivided into voxels. The octree voxels contain two precomputed sets of edges that potentially or always belong to the silhouette. We also propose a novel method of octree compression for reduction of the memory footprint of the resulting acceleration structure. Using our novel technique we were able to considerably decrease the computational complexity of finding the silhouette and reduce its sensitivity to the number of edges.en
dc.subject.translatedsilhouette extractionen
dc.subject.translatedoctreeen
dc.subject.translatedcompressionen
dc.subject.translatedshadow volumesen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2019.27.1.2
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 27, Number 1 (2019)

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
Kobrtek.pdfPlný text1,79 MBAdobe PDFZobrazit/otevřít
Zobrazit minimální záznam Zobrazit statistiky


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/35549

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.

hledání
navigace
  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 27 (2019)
  6. Volume 27, Number 1 (2019)