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hal.structure.identifierVisualization and manipulation of complex data on wireless mobile devices [IPARLA ]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorFRANCO, Jean-Sébastien
hal.structure.identifierInterpretation and Modelling of Images and Videos [PERCEPTION]
dc.contributor.authorBOYER, Edmond
dc.date.accessioned2024-04-15T09:52:54Z
dc.date.available2024-04-15T09:52:54Z
dc.date.issued2009-03
dc.identifier.issn0162-8828
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198561
dc.description.abstractEnModeling from silhouettes is a popular and useful topic in computer vision. Many methods exist to compute the surface of the visual hull from silhouettes, but few address the problem of ensuring good topological properties of the surface, such as manifoldness. This article provides an efficient algorithm to compute such a surface in the form of a polyhedral mesh. It relies on a small number of geometric operations to compute a visual hull polyhedron in a single pass. Such simplicity enables the algorithm to combine the advantages of being fast, producing pixel-exact surfaces, and repeatably yield manifold and watertight polyhedra in general experimental conditions with real data, as verified with all datasets tested. The algorithm is fully described, its complexity analyzed and modeling results given.
dc.description.sponsorshipData trAnsfert for Large Interactive Applications - ANR-06-MDCA-0003
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.typeArticle de revue
dc.identifier.doi10.1109/TPAMI.2008.104
dc.subject.halInformatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
bordeaux.journalIEEE Transactions on Pattern Analysis and Machine Intelligence
bordeaux.page414-427
bordeaux.volume31
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierinria-00349103
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00349103v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE%20Transactions%20on%20Pattern%20Analysis%20and%20Machine%20Intelligence&rft.date=2009-03&rft.volume=31&rft.issue=3&rft.spage=414-427&rft.epage=414-427&rft.eissn=0162-8828&rft.issn=0162-8828&rft.au=FRANCO,%20Jean-S%C3%A9bastien&BOYER,%20Edmond&rft.genre=article


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