Scalable light field disparity estimation with occlusion detection

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dc.contributor.authorLi, Yan
dc.contributor.authorLafruit, Gauthier
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-05-07T07:13:07Z
dc.date.available2019-05-07T07:13:07Z
dc.date.issued2018
dc.description.abstract-translatedAn occlusion-aware framework is proposed to robustly estimate the disparities of light field images. It is mainly realized by leveraging multiple edge cues to occlusion detection and then integrate it with local costs into an energy function. To check the performance, the quantitative and/or qualitative evaluations are performed on both synthetic and natural light field datasets. It demonstrates that the proposed framework is robust to the density and disparity range of the light field, advancing the state-of-the-art light field disparity estimation frameworks on aspect of accuracies.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2018, vol. 26, no. 2, p. 66-75.en
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2018.26.2.1
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.uriwscg.zcu.cz/WSCG2018/!_2018_Journal_WSCG-No-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/34592
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectsvětelné polecs
dc.subjectdispartitacs
dc.subjectodhad hloubkycs
dc.subjectdetekce okluzecs
dc.subjectglobální optimalizacecs
dc.subject.translatedlight fielden
dc.subject.translateddisparityen
dc.subject.translateddepth estimationen
dc.subject.translatedocclusion detectionen
dc.subject.translatedglobal optimizationen
dc.titleScalable light field disparity estimation with occlusion detectionen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Volume 26, Number 2 (2018)