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DC poleHodnotaJazyk
dc.contributor.authorMieloch, Dawid
dc.contributor.authorKlóska, Dominika
dc.contributor.authorWoźniak, Magdalena
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-08-31T09:08:04Z
dc.date.available2021-08-31T09:08:04Z
dc.date.issued2021
dc.identifier.citationWSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 135-144.en
dc.identifier.isbn978-80-86943-34-3
dc.identifier.issn2464-4617
dc.identifier.issn2464–4625(CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/45018
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjecthloubkové mapycs
dc.subjectodhad hloubkycs
dc.subjectkorespondenční pohovorcs
dc.subjectmetrika podobnostics
dc.subjectsyntéza virtuálního pohleducs
dc.titlePoint-to-Block Matching in Depth Estimationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper, the novel correspondence search method called point-to-block matching was proposed. Recently, in many proposed multimedia systems, depth estimation is performed on compressed input views. To address this problem and increase the quality of such depth maps, in the proposal, a point in a view is not compared simply with a point in another view, but to the most similar point in a small block surrounding it. The introduction of this method in the depth estimation process is beneficial to the quality of depth maps, as it decreases the influence of small shifts in images, caused e.g., by encoding-related errors introduced to input views. The method was implemented in one of the state-of-the-art depth estimation methods and tested in series of experiments. Based on the comparison of synthesized virtual views with the input views, the proposal increases the quality of estimated depth maps in most of the tested configurations.en
dc.subject.translateddepth mapsen
dc.subject.translateddepth estimationen
dc.subject.translatedinter-view correspondenceen
dc.subject.translatedsimilarity metricen
dc.subject.translatedvirtual view synthesisen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2021.3101.15
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2021: Full Papers Proceedings

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