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DC poleHodnotaJazyk
dc.contributor.authorSommer, Alexander
dc.contributor.authorSchwanecke, Ulrich
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-08-31T09:22:52Z
dc.date.available2021-08-31T09:22:52Z
dc.date.issued2021
dc.identifier.citationWSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 155-160.en
dc.identifier.isbn978-80-86943-34-3
dc.identifier.issn2464-4617
dc.identifier.issn2464–4625(CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/45020
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectvzorkovánícs
dc.subjectobjemová reprezentacecs
dc.subjectreprezentace povrchucs
dc.subjectsimulace na bázi částiccs
dc.titleLEAVEN - Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulationsen
dc.typeconferenceObjecten
dc.typekonferenční příspěvekcs
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe present an easy-to-use and lightweight surface and volume mesh sampling standalone application tailored for the needs ofparticle-based simulation. We describe the surface and volume sampling algorithms used in LEAVENin a beginner-friendlyfashion. Furthermore, we describe a novel method of generating random volume samples that satisfy blue noise criteria by mod-ifying a surface sampling algorithm. We aim to lower one entry barrier for starting with particle-based simulations while stillpose a benefit to advanced users. The goal is to provide a useful tool to the community and lowering the need for heavyweightthird-party applications, especially for starters.en
dc.subject.translatedmesh samplingen
dc.subject.translatedvolume representationen
dc.subject.translatedsurface representatioen
dc.subject.translatedparticle-based simulationen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2021.3101.17
dc.type.statusPeer-revieweden
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