Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/11276
Campo DC Valoridioma
dc.contributor.authorSánchez, Javieren_US
dc.contributor.authorSalgado de la Nuez, Agustín Javieren_US
dc.contributor.authorMonzón, Nelsonen_US
dc.date.accessioned2014-01-31T03:30:40Z-
dc.date.accessioned2018-06-15T09:18:37Z-
dc.date.available2014-01-31T03:30:40Z-
dc.date.available2018-06-15T09:18:37Z-
dc.date.issued2013en_US
dc.identifier.isbn9789898565471en_US
dc.identifier.urihttp://hdl.handle.net/10553/11276-
dc.description.abstractIn this work we propose a new variational model for the consistent estimation of motion fields. The aim of this work is to develop appropriate spatio-temporal coherence models. In this sense, we propose two main contributions: a nonlinear flow constancy assumption, similar in spirit to the nonlinear brightness constancy assumption, which conveniently relates flow fields at different time instants; and a nonlinear temporal regularization scheme, which complements the spatial regularization and can cope with piecewise continuous motion fields. These contributions pose a congruent variational model since all the energy terms, except the spatial regularization, are based on nonlinear warpings of the flow field. This model is more general than its spatial counterpart, provides more accurate solutions and preserves the continuity of optical flows in time. In the experimental results, we show that the method attains better results and, in particular, it considerably improves the accuracy in the presence of large displacements.en_US
dc.languageengen_US
dc.rightsby-nc-ndes
dc.sourceVISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications,v. 2, p. 366-369en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherOptical flowen_US
dc.subject.otherVariational methodsen_US
dc.subject.otherPDEen_US
dc.subject.otherTemporal coherenceen_US
dc.titleOptical flow estimation with consistent spatio-temporal coherence modelsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjectes
dc.relation.conference8th International Conference on Computer Vision Theory and Applications, VISAPP 2013
dc.identifier.scopus84878248470-
dc.contributor.authorscopusid22735426600-
dc.contributor.authorscopusid56268272100-
dc.contributor.authorscopusid55749010500-
dc.identifier.absysnet676569-
dc.description.lastpage369-
dc.description.firstpage366-
dc.relation.volume2-
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.date.coverdateMayo 2013
dc.identifier.conferenceidevents121476
dc.identifier.ulpgces
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate21-02-2013-
crisitem.event.eventsenddate24-02-2013-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-8514-4350-
crisitem.author.orcid0000-0002-6142-3432-
crisitem.author.orcid0000-0003-0571-9068-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameSánchez Pérez, Javier-
crisitem.author.fullNameSalgado De La Nuez, Agustín-
crisitem.author.fullNameMonzón López, Nelson Manuel-
Colección:Actas de congresos
miniatura
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