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DC poleHodnotaJazyk
dc.contributor.authorHuan, Quentin
dc.contributor.authorRousselle, Francois
dc.contributor.authorRenaud, Christophe
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-17T16:01:01Z
dc.date.available2023-10-17T16:01:01Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 258-267.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54432
dc.description.sponsorshipWe would like to thank the Hauts-de-France region, which is helping to finance this work through Quentin Huan’s PhD grant. The Digital Field of Cloth of Gold is a project of the Universite Lille Nord-Europe granted by the I-SITE ULNE foundation.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectstarověké sklocs
dc.subjectvirtuální dědictvícs
dc.subjectžíravinycs
dc.subjectpathtracingcs
dc.subjectvzorkovánícs
dc.subjectNewtonova metodacs
dc.titleOptimised Light Rendering through Old Glassen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe propose a rendering method for efficiently computing the transmitted caustics produced by a glass panel with arbitrary surface deformations, characteristic of old glass used in 3D reconstructions in virtual heritage. Using Fermat’s principle of least time, we generalize the concept of Next Event Estimation to allow light sampling through two displaced refractive interfaces, which amount to numerically finding all stationary points of an ob jective function. Our work allows for an efficient estimation of the caustic while staying inside a standard Monte Carlo pathtracing framework. Our specific geometrical context allows our solver to converge significantly faster than the more general method Specular Manifold Sampling, while scaling well with the number of panels present in the sceneen
dc.subject.translatedancient glassen
dc.subject.translatedvirtual heritageen
dc.subject.translatedcausticsen
dc.subject.translatedpathtracingen
dc.subject.translatedsamplingen
dc.subject.translatedNewton’s methoden
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.3
dc.type.statusPeer-revieweden
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