Distance Fields in Monte Carlo Geometry Processing

dc.contributor.authorHorváth, Anna Lili
dc.contributor.authorValasek, Gábor
dc.contributor.authorBán, Róbert
dc.contributor.editorSkala, Václav
dc.date.accessioned2025-07-30T10:28:43Z
dc.date.available2025-07-30T10:28:43Z
dc.date.issued2025
dc.description.abstract-translatedWe propose to use discrete signed distance representations in Monte Carlo geometry processing simulations. In particular, we investigate the application of algebraic and geometric generalizations of traditional signed distance fields. These are means to unify signed distance and closest point queries that are required by the walk-on-spheres algorithmic framework. We apply these to plane shapes enclosed by parametric polynomial boundaries. Our tests quantify the performance-accuracy trade-off compared to brute force closest point queries on test shapes.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.doihttp://www.doi.org/10.24132/CSRN.2025-29
dc.identifier.issn2464-4617 (Print)
dc.identifier.issn2464-4625 (online)
dc.identifier.urihttp://hdl.handle.net/11025/62239
dc.language.isoenen
dc.publisherVaclav Skala - UNION Agencyen
dc.rights© Vaclav Skala - UNION Agencyen
dc.rights.accessopenAccessen
dc.subjectpočítačová grafikacs
dc.subjectzpracování geometriecs
dc.subjectMonte Carlocs
dc.subject.translatedcomputer graphicsen
dc.subject.translatedgeometry processingen
dc.subject.translatedMonte Carloen
dc.titleDistance Fields in Monte Carlo Geometry Processingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer revieweden
dc.type.versionpublishedVersionen
local.files.count1*
local.files.size6797050*
local.has.filesyes*

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