Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54504
DC FieldValueLanguage
dc.contributor.authorAlvarez, L.en_US
dc.contributor.authorCastaño, C. A.en_US
dc.contributor.authorGarcía, M.en_US
dc.contributor.authorKrissian, K.en_US
dc.contributor.authorMazorra, L.en_US
dc.contributor.authorSalgado, A.en_US
dc.contributor.authorSánchez, J.en_US
dc.contributor.otherAlvarez, Luis-
dc.contributor.otherMazorra, Luis-
dc.contributor.otherSalgado, Agustin-
dc.contributor.otherSanchez, Javier-
dc.contributor.otherKrissian, Karl-
dc.date.accessioned2019-02-18T11:14:02Z-
dc.date.available2019-02-18T11:14:02Z-
dc.date.issued2009en_US
dc.identifier.issn1077-3142en_US
dc.identifier.urihttp://hdl.handle.net/10553/54504-
dc.description.abstractMotion estimation has many applications in fluid analysis, and a lot of work has been carried Out using Particle Image Velocimetry (PIV) to capture and measure the flow motion from sequences of 2D images. Recent technological advances allow capturing 3D PIV sequences of moving particles. In the context of 3D flow motion, the assumption of incompressibility is an important physical property that is satisfied by a large class of problems and experiments. Standard motion estimation techniques in computer vision do not take into account the physical constraints of the flow, which is a very interesting and challenging problem. In this paper, we Propose a new variational motion estimation technique which includes the incompressibility of the flow as a Constraint to the minimization problem. We analyze, from a theoretical point of view, the influence of this constraint and we design a new numerical algorithm for motion estimation which enforces it. The performance of the proposed technique is evaluated from numerical experiments on synthetic and real data. Crown Copyright (C) 2009 Published by Elsevier Inc. All rights reserved.
dc.languagespaen_US
dc.publisher1077-3142-
dc.relation.ispartofComputer Vision and Image Understandingen_US
dc.sourceComputer Vision and Image Understanding[ISSN 1077-3142],v. 113, p. 802-810en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject120602 Ecuaciones diferencialesen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherOptical-Flow
dc.subject.otherVariational Approach
dc.subject.otherFluid-Flows
dc.subject.otherComputation
dc.subject.otherVelocimetry
dc.subject.otherDecomposition
dc.subject.otherFields
dc.titleA new energy-based method for 3D motion estimation of incompressible PIV flowsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.cviu.2009.01.005
dc.identifier.scopus67349101851-
dc.identifier.isi000266611500003-
dc.contributor.authorscopusid55640159000-
dc.contributor.authorscopusid23468556600-
dc.contributor.authorscopusid8145057000-
dc.contributor.authorscopusid56299010200
dc.contributor.authorscopusid6602218913-
dc.contributor.authorscopusid6506386746-
dc.contributor.authorscopusid56268272100-
dc.contributor.authorscopusid22735426600-
dc.description.lastpage810-
dc.description.firstpage802-
dc.relation.volume113-
dc.type2Artículoen_US
dc.identifier.wosWOS:000266611500003-
dc.contributor.daisngid478566-
dc.contributor.daisngid4817962-
dc.contributor.daisngid10332598-
dc.contributor.daisngid1202623-
dc.contributor.daisngid1700003-
dc.contributor.daisngid1889991-
dc.contributor.daisngid1335721-
dc.identifier.investigatorRIDA-9190-2009-
dc.identifier.investigatorRIDK-7933-2014-
dc.identifier.investigatorRIDL-6874-2017-
dc.identifier.investigatorRIDA-7009-2011-
dc.identifier.investigatorRIDE-9580-2012-
dc.identifier.externalWOS:000266611500003-
dc.contributor.wosstandardWOS:Alvarez, L
dc.contributor.wosstandardWOS:Castano, CA
dc.contributor.wosstandardWOS:Garcia, M
dc.contributor.wosstandardWOS:Krissian, K
dc.contributor.wosstandardWOS:Mazorra, L
dc.contributor.wosstandardWOS:Salgado, A
dc.contributor.wosstandardWOS:Sanchez, J
dc.date.coverdateJulio 2009
dc.identifier.ulpgces
dc.description.jcr1,676
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Análisis de Imagen e Ingeniería de Software-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR Análisis de Imagen e Ingeniería de Software-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-6953-9587-
crisitem.author.orcid0000-0002-7176-0483-
crisitem.author.orcid0000-0001-8514-4350-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameÁlvarez León, Luis Miguel-
crisitem.author.fullNameMazorra Manrique de Lara, Luis-
crisitem.author.fullNameSánchez Pérez, Javier-
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