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DC poleHodnotaJazyk
dc.contributor.authorKonks, Eric
dc.contributor.authorShcherbakov, Alexandr
dc.contributor.editorSkala, Václav
dc.date.accessioned2024-07-28T18:07:40Z-
dc.date.available2024-07-28T18:07:40Z-
dc.date.issued2024
dc.identifier.citationWSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 129-136.en
dc.identifier.issn2464–4625 (online)
dc.identifier.issn2464–4617 (print)
dc.identifier.urihttp://hdl.handle.net/11025/57385
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectbodové mračnocs
dc.subjectúroveň detailucs
dc.subjectpodvodníkcs
dc.subjectbodové vykreslovánícs
dc.subjectoptimalizacecs
dc.titlePLOD: Point cloud level of detail for polygon meshcs_CZ
dc.titlePLOD: Point cloud level of detail for polygon meshen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedRendering high-polygonal models from distant perspectives has certain performance issues related to high density of subpixel triangles, which can be solved by levels of detail, a classical optimization method. Since a mesh occupies a small area on the screen, an alternative representation of the geometry in the form of a point cloud can replace the original geometry with little or no change to the image, and allowing for significant performance improvements due to the smaller number of primitives rendered. This paper presents a method for automatically generating a point cloud from a polygonal mesh with nested levels of detail. It also considers a method for rendering cloud with dynamically varying cloud density in real time based on view frustum and distance.en
dc.subject.translatedpoint clouden
dc.subject.translatedlevel of detailen
dc.subject.translatedimpostoren
dc.subject.translatedpoint based renderingen
dc.subject.translatedoptimizationen
dc.identifier.doihttps://doi.org/10.24132/10.24132/CSRN.3401.14
dc.type.statusPeer revieweden
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