Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/11291
DC FieldValueLanguage
dc.contributor.authorAlvarez, L.en_US
dc.contributor.authorCastaño Moraga, Carlos Albertoen_US
dc.contributor.authorGarcía, Miguelen_US
dc.contributor.authorKrissian, Karlen_US
dc.contributor.authorMazorra, L.en_US
dc.contributor.authorSalgado de la Nuez, Agustín Javieren_US
dc.contributor.authorSánchez, J.en_US
dc.contributor.otherSanchez, Javier-
dc.contributor.otherMazorra, Luis-
dc.contributor.otherKrissian, Karl-
dc.contributor.otherSalgado, Agustin-
dc.contributor.otherAlvarez, Luis-
dc.date.accessioned2014-02-06T03:31:10Z
dc.date.accessioned2018-03-15T14:26:41Z-
dc.date.available2014-02-06T03:31:10Z
dc.date.available2018-03-15T14:26:41Z-
dc.date.issued2008en_US
dc.identifier.issn0723-4864en_US
dc.identifier.urihttp://hdl.handle.net/10553/11291-
dc.description.abstractWe present in this paper a variational approach to accurately estimate simultaneously the velocity field and its derivatives directly from PIV image sequences. Our method differs from other techniques that have been presented in the literature in the fact that the energy minimization used to estimate the particles motion depends on a second order Taylor development of the flow. In this way, we are not only able to compute the motion vector field, but we also obtain an accurate estimation of their derivatives. Hence, we avoid the use of numerical schemes to compute the derivatives from the estimated flow that usually yield to numerical amplification of the inherent uncertainty on the estimated flow. The performance of our approach is illustrated with the estimation of the motion vector field and the vorticity on both synthetic and real PIV datasets.en_US
dc.languageengen_US
dc.relation.ispartofExperiments in Fluidsen_US
dc.rightsby-nc-ndes
dc.sourceExperiments in Fluids[ISSN 0723-4864],v. 44, p. 291-304en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject120602 Ecuaciones diferencialesen_US
dc.subject120326 Simulaciónen_US
dc.subject.otherImage sequencesen_US
dc.subject.otherPIVen_US
dc.titleVariational second order flow estimation for PIV sequencesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00348-007-0402-3
dc.identifier.scopus38349170472-
dc.identifier.isi000252474600010-
dcterms.isPartOfExperiments In Fluids
dcterms.sourceExperiments In Fluids[ISSN 0723-4864],v. 44 (2), p. 291-304
dc.contributor.authorscopusid55640159000-
dc.contributor.authorscopusid23468556600-
dc.contributor.authorscopusid23389121800-
dc.contributor.authorscopusid6602218913-
dc.contributor.authorscopusid6506386746-
dc.contributor.authorscopusid56268272100-
dc.contributor.authorscopusid22735426600-
dc.identifier.absysnet681198-
dc.description.lastpage304-
dc.description.firstpage291-
dc.relation.volume44-
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Artículoen_US
dc.identifier.wosWOS:000252474600010-
dc.contributor.daisngid478566-
dc.contributor.daisngid4817962-
dc.contributor.daisngid10332598-
dc.contributor.daisngid10065580
dc.contributor.daisngid1202623-
dc.contributor.daisngid1700003-
dc.contributor.daisngid1889991-
dc.contributor.daisngid1335721-
dc.identifier.investigatorRIDA-7009-2011-
dc.identifier.investigatorRIDK-7933-2014-
dc.identifier.investigatorRIDE-9580-2012-
dc.identifier.investigatorRIDL-6874-2017-
dc.identifier.investigatorRIDA-9190-2009-
dc.identifier.externalWOS:000252474600010-
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.coverdateFebrero 2008
dc.identifier.ulpgces
dc.description.jcr1,854
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR Modelos Matemáticos-
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.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.orcid0000-0002-6953-9587-
crisitem.author.orcid0000-0002-7176-0483-
crisitem.author.orcid0000-0001-8514-4350-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameÁlvarez León, Luis Miguel-
crisitem.author.fullNameMazorra Manrique De Lara,Luis-
crisitem.author.fullNameSánchez Pérez, Javier-
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