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DC poleHodnotaJazyk
dc.contributor.authorWasenmüller, Oliver
dc.contributor.authorBleser, Gabriele
dc.contributor.authorStricker, Didier
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-01-07T07:46:51Z
dc.date.available2016-01-07T07:46:51Z
dc.date.issued2015
dc.identifier.citationJournal of WSCG. 2015, vol. 23, no. 1, p. 27-34.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-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17145
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.subjectJBMDcs
dc.subjectvyhlazenícs
dc.subjectkrytcs
dc.subjectspolečný bilaterální filtrcs
dc.subjectlokální nesmršťovánícs
dc.subjectbarva informacecs
dc.titleJoint bilateral mesh denoising using color information and local anti-shrinkingen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedRecent 3D reconstruction algorithms are able to generate colored meshes with high resolution details of given objects. However, due to several reasons the reconstructions still contain some noise. In this paper we propose the new Joint Bilateral Mesh Denoising (JBMD), which is an anisotropic filter for highly precise and smooth mesh denoising. Compared to state of the art algorithms it uses color information as an additional constraint for denoising; following the observation that geometry and color changes often coincide. We face the well-known mesh shrinking problem by a new local anti-shrinking, leading to precise edge preservation. In addition we use an increasing smoothing sensitivity for higher numbers of iterations. We show in our evaluation with three different categories of testdata that our contributions lead to high precision results, which outperform competing algorithms. Furthermore, our JBMD algorithm converges on a minimal error level for higher numbers of iterations.en
dc.subject.translatedJBMDen
dc.subject.translatedsmoothingen
dc.subject.translatedfairingen
dc.subject.translatedjoint bilateral filteren
dc.subject.translatedlocal anti-shrinkingen
dc.subject.translatedcolor informationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 23, Number 1 (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 1 (2015)