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DC poleHodnotaJazyk
dc.contributor.authorStankowski, Jakub
dc.contributor.authorDziembowski, Adrian
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-09-02T08:22:22Z
dc.date.available2022-09-02T08:22:22Z
dc.date.issued2022
dc.identifier.citationWSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 241-247.en
dc.identifier.isbn978-80-86943-33-6
dc.identifier.issn2464-4617
dc.identifier.urihttp://hdl.handle.net/11025/49600
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.subjectvšesměrové videocs
dc.subjectpohlcující video systémycs
dc.subjectzpracování videa v reálném časecs
dc.titleReal-time CPU-based View Synthesis for Omnidirectional Videoen
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper, the authors describe the real-time CPU-based implementation of the virtual view synthesis algorithm for high-resolution omnidirectional content. The proposed method allows a user of the immersive video virtually navigating within the scene captured by a multiview system comprised of 360-degree or 180-degree cameras. The proposed method does not require using powerful graphic cards as other state-of-the-art real-time synthesis methods. Instead, the emerge of consumer-grade multithreaded CPUs and CPU-based virtual view synthesis, allows further development of cheap, consumer immersive video systems. The proposed method was compared with the state-of-the-art view synthesis algorithm – RVS, both in terms of quality of synthesized views and computational time required for the synthesis, presenting the usefulness of the proposed method.en
dc.subject.translatedvirtual view synthesisen
dc.subject.translatedomnidirectional videoen
dc.subject.translatedimmersive video systemsen
dc.subject.translatedreal-time video processingen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3201.30
dc.type.statusPeer-revieweden
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