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DC poleHodnotaJazyk
dc.contributor.authorStankowski, Jakub
dc.contributor.authorDziembowski, Adrian
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-17T17:04:39Z
dc.date.available2023-10-17T17:04:39Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 277-283.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/11025/54434
dc.description.sponsorshipThis work was supported by the Ministry of Education and Science of Republic of Poland.en
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectsyntéza virtuálního pohleducs
dc.subjectpohlcující video systémcs
dc.subjectzpracování videa v reálném časecs
dc.titleMassively Parallel CPU-based Virtual View Synthesis with Atomic Z-testen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper we deal with the problem of real-time virtual view synthesis, which is crucial in practical immersive video systems. The majority of existing real-time view synthesizers described in literature require using dedicated hardware. In the proposed approach, the view synthesis algorithm is implemented on a CPU increasing its usability for users equipped with consumer devices such as personal computers or laptops. The novelty of the proposed algorithm is based on the atomic z-test function, which allows for parallelization of the depth reprojection step, what was not possible in previous works. The proposal was evaluated on a test set containing miscellaneous perspective and omnidirectional sequences, both in terms of quality and computational time. The results were compared to the state-of-the-art view synthesis algorithm – RVS.en
dc.subject.translatedvirtual view synthesisen
dc.subject.translatedimmersive video systemen
dc.subject.translatedreal-time video processingen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.32
dc.type.statusPeer-revieweden
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