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Silhouette Enhancement in Light Field Disparity Estimation Using the Structure Tensor

2018-10Conference paper Open access
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dc.contributor.authorLourenço, Rui
dc.contributor.authorAssunção, Pedro
dc.contributor.authorTávora, Luís M.N.
dc.contributor.authorFonseca-Pinto, Rui
dc.contributor.authorFaria, Sergio
dc.date.accessioned2025-06-06T16:55:36Z
dc.date.available2025-06-06T16:55:36Z
dc.date.issued2018-10
dc.description.abstractThis paper presents a method to improve disparity maps computed from light field images using structure tensor methods, which tend to expand the borders of the occluding objects, enlarging their silhouette. The proposed method relies on the fact that such regions of the silhouette are defined by a mismatch between the disparity map edges, computed by the structure tensor, and those of the corresponding epipolar plane images (EPI) representing the light field. The proposed silhouette improvement method determines a correspondence between EPI edges and the disparity map edges, identifying the erroneous silhouette regions. The disparity map is corrected by using neighbouring values computed with high structure tensor reliability. The achieved results show that the disparity map is improved both around object edges and overall, reducing the MSE by 47.9% in comparison with other methods also based on the structure tensor.eng
dc.identifier.doi10.1109/icip.2018.8451848
dc.identifier.issn1522-4880
dc.identifier.urihttp://hdl.handle.net/10400.8/13185
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE
dc.relation.hasversionhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85062913568&doi=10.1109%2fICIP.2018.8451848&origin=inward&txGid=d0c61fc6ffc3c1cf1f2c076d2edec923
dc.relation.ispartof2018 25th IEEE International Conference on Image Processing (ICIP)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDepth
dc.subjectDisparity
dc.subjectLight field
dc.subjectStructure tensor
dc.titleSilhouette Enhancement in Light Field Disparity Estimation Using the Structure Tensoreng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2018-10
oaire.citation.conferencePlaceAthens
oaire.citation.endPage2584
oaire.citation.startPage2580
oaire.citation.titleProceedings - International Conference on Image Processing, ICIP
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAssunção
person.familyNameFaria
person.givenNamePedro
person.givenNameSergio
person.identifier.ciencia-id6811-3984-C17B
person.identifier.ciencia-id8815-4101-28DD
person.identifier.orcid0000-0001-9539-8311
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridA-4827-2017
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id14027853900
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscovery25649bb9-f135-48e8-8d0f-3706b86701d3

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