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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16453
DC FieldValueLanguage
dc.contributor.authorRabie, Ahmad
dc.contributor.authorLang, Christian
dc.contributor.authorHanheide, Marc
dc.contributor.authorCastrillón-Santana, Modesto
dc.contributor.authorSagerer, Gerhard
dc.contributor.otherCastrillon-Santana, Modesto
dc.contributor.otherHanheide, Marc
dc.date.accessioned2016-04-13T09:21:46Z
dc.date.accessioned2018-02-21T14:34:06Z-
dc.date.available2016-04-13T09:21:46Z
dc.date.available2018-02-21T14:34:06Z-
dc.date.issued2008es
dc.identifier.isbn978-3-540-79546-9
dc.identifier.isbn3540795464
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10553/16453
dc.description.abstractThis paper focuses on four different initialization methods for determining the initial shape for the AAM algorithm and their particular performance in two different classification tasks with respect to either the facial expression DaFEx database and to the real world data obtained from a robot’s point of view.es
dc.languageenges
dc.relation.ispartofLecture Notes in Computer Sciencees-ES
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 5008 LNCS, p. 517-526es
dc.subject120304 Inteligencia artificiales
dc.titleAutomatic initialization for facial analysis in interactive roboticses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference6th International Conference on Computer Vision Systems, ICVS 2008
dc.identifier.doi10.1007/978-3-540-79547-6_50
dc.identifier.scopus44649098138
dc.identifier.isi000255865700050
dcterms.isPartOfComputer Vision Systems, Proceedings
dcterms.sourceComputer Vision Systems, Proceedings[ISSN 0302-9743],v. 5008, p. 517-526
dc.contributor.authorscopusid56651146500
dc.contributor.authorscopusid24338518600
dc.contributor.authorscopusid6507632075
dc.contributor.authorscopusid22333278500
dc.contributor.authorscopusid7004644220
dc.identifier.absysnet722162
dc.identifier.crisid-;-;-;2806;-
dc.description.lastpage526
dc.description.firstpage517
dc.relation.volume5008 LNCS
dc.investigacionIngeniería y Arquitecturaes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Actas de congresoses
dc.identifier.wosWOS:000255865700050
dc.contributor.daisngid5453882
dc.contributor.daisngid1962672
dc.contributor.daisngid782374
dc.contributor.daisngid1060138
dc.contributor.daisngid288827
dc.identifier.investigatorRIDK-9040-2014
dc.identifier.investigatorRIDNo ID
dc.date.coverdateJunio 2008
dc.identifier.conferenceidevents121340
dc.identifier.ulpgcSíes
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate12-05-2008-
crisitem.event.eventsenddate15-05-2008-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
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