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Reconstruction of lost depth data in multiview video-plus-depth communications using geometric transforms

dc.contributor.authorMarcelino, Sylvain
dc.contributor.authorSoares, Salviano
dc.contributor.authorFaria, Sergio
dc.contributor.authorAssunção, Pedro
dc.date.accessioned2025-05-26T13:40:36Z
dc.date.available2025-05-26T13:40:36Z
dc.date.issued2016-10
dc.description.abstractThis paper addresses depth data recovery in multiview video-plus-depth communications affected by transmission errors and/or packet loss. The novel aspects of the proposed method rely on the use of geometric transforms and warping vectors, capable of capturing complex motion and view-dependent deformations, which are not efficiently handled by traditional motion and/or disparity compensation methods. By exploiting the geometric nature of depth information, a region matching approach combined with depth contour reconstruction is devised to achieve accurate interpolation of arbitrary shapes within lost regions of depth maps. The simulation results show that, for different packet loss rates, up to 20%, the depth maps recovered by the proposed method produce virtual views with better quality than existing methods based on motion information and spatial interpolation. An average PSNR gain of 1.48 dB is obtained in virtual views synthesised from depth maps using the proposed method.eng
dc.identifier.citationSylvain Marcelino, Salviano Soares, Sergio M.M. de Faria, Pedro Assuncao, Reconstruction of lost depth data in multiview video-plus-depth communications using geometric transforms, Journal of Visual Communication and Image Representation, Volume 40, Part B, 2016, Pages 589-599, ISSN 1047-3203, https://doi.org/10.1016/j.jvcir.2016.07.024.
dc.identifier.doi10.1016/j.jvcir.2016.07.024
dc.identifier.issn1047-3203
dc.identifier.urihttp://hdl.handle.net/10400.8/12982
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S104732031630150X?via%3Dihub
dc.relation.ispartofJournal of Visual Communication and Image Representation
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMultiview video-plus-depth
dc.subjectDepth map reconstruction
dc.subjectDepth loss
dc.subjectError concealment
dc.subjectGeometric transforms
dc.titleReconstruction of lost depth data in multiview video-plus-depth communications using geometric transformseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage599
oaire.citation.startPage589
oaire.citation.titleJournal of Visual Communication and Image Representation
oaire.citation.volume40
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFaria
person.familyNameAssunção
person.givenNameSergio
person.givenNamePedro
person.identifier.ciencia-id8815-4101-28DD
person.identifier.ciencia-id6811-3984-C17B
person.identifier.orcid0000-0002-0993-9124
person.identifier.orcid0000-0001-9539-8311
person.identifier.ridC-5245-2011
person.identifier.ridA-4827-2017
person.identifier.scopus-author-id14027853900
person.identifier.scopus-author-id6701838347
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscoveryf69bd4d6-a6ef-4d20-8148-575478909661

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