Multi-View Reconstruction of 3d Human Pose With Procrustes Analysis

dc.authorid Berk Gökberk / 0000-0001-6299-1610
dc.contributor.author Gökberk, Berk
dc.contributor.author Akarun, Lale
dc.contributor.author Temiz, Hüseyin
dc.date.accessioned 2020-02-04T12:51:49Z
dc.date.available 2020-02-04T12:51:49Z
dc.date.issued 2019
dc.department Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.description.WoSDocumentType Proceedings Paper
dc.description.WoSIndexDate 2019 en_US
dc.description.WoSPublishedMonth Kasım en_US
dc.description.WoSYOKperiod YÖK - 2019-20 en_US
dc.description.abstract Recovery of 3D human pose from cameras has been the subject of intensive research in the last decade. Algorithms that can estimate the 3D pose from a single image have been developed. At the same time, many camera environments have an array of cameras. In this paper, after aligning the poses obtained from single images using Procrustes Analysis, median filtering is utilized to eliminate outliers to find final reconstructed 3D body joint coordinates. Experiments performed on the CMU Panoptic, and Human3.6M databases demonstrate that the proposed system achieves accurate 3D body joint reconstructions. Additionally, we observe that camera selection is useful to decrease the system complexity while attaining the same level of reconstruction performance. en_US
dc.description.sponsorship IEEE France Section, IEEE Turkey Section, Universite Paris-Saclay, Yeditepe University. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science en_US
dc.identifier.citation Temiz, H., Gökberk, B. & Akarun, L., (6-9 November, 2019). Multi-view reconstruction of 3D human pose with procrustes analysis, 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA 2019), pp. 1-5, DOI: https://doi.org/10.1109/IPTA.2019.8936071 en_US
dc.identifier.doi 10.1109/IPTA.2019.8936071
dc.identifier.endpage 5 en_US
dc.identifier.isbn 9781728139760
dc.identifier.isbn 9781728139753
dc.identifier.isbn 9781728139746
dc.identifier.issn 2154-5111
dc.identifier.issn 2154-512X
dc.identifier.scopus 2-s2.0-85077969563
dc.identifier.scopusquality N/A
dc.identifier.startpage 1 en_US
dc.identifier.uri https://hdl.handle.net/20.500.11779/1297
dc.identifier.uri https://doi.org/10.1109/IPTA.2019.8936071
dc.identifier.wos WOS:000529320000002
dc.identifier.wosquality N/A
dc.institutionauthor Gökberk, Berk
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof 2019 Ninth International Conference on Image Processing Theory, Tools and Applications = IPTA 2019 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject 3d human pose estimation en_US
dc.subject Procrustes analysis en_US
dc.subject Multi-view camera reconstruction en_US
dc.title Multi-View Reconstruction of 3d Human Pose With Procrustes Analysis en_US
dc.type Conference Object en_US

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