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dc.contributor.authorUlrich, Christine
dc.contributor.authorGrund, Nico
dc.contributor.authorDerzapf, Evgenij
dc.contributor.authorLobachev, Oleg
dc.contributor.authorGuthe, Guthe
dc.contributor.editorSkala, Václav
dc.date.accessioned2017-11-08T13:12:18Z
dc.date.available2017-11-08T13:12:18Z
dc.date.issued2014
dc.identifier.citationWSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 361-368.en
dc.identifier.isbn978-80-86943-71-8
dc.identifier.uriwscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26435
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2014: communication papers proceedingsen
dc.rights@ Václav Skala - UNION Agencycs
dc.subjectpochodující krychlecs
dc.subjectzjednodušenícs
dc.subjectrekonstrukcecs
dc.titleParallel iso-surface extraction and simplificationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWhen extracting iso-surfaces from large volume data sets, long processing times are required and a high number of polygons is generated. We propose a massively parallel iso-surface extraction and simplification algorithm. The extraction is based on the marching cubes algorithm. In order to process large volume data sets, we perform the extraction with an interleaved simplification step using parallel edge collapses and the quadric error metrics. Interleaving extraction and simplification is based on locally postponing collapse operations close to the processing front. In contrast to previous methods, we do not need an explicit simplification error fall-off close to the front. Thus we can produce meshes with the same quality as if we would simplify the complete mesh after extraction. By implementing both extraction and simplification on the GPU, we can reconstruct high quality iso-surfaces from large data sets within a few seconds.en
dc.subject.translatedmarching cubesen
dc.subject.translatedsimplificationen
dc.subject.translatedreconstructionen
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2014: Communication Papers Proceedings

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