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Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/17668
Campo DC Valoridioma
dc.contributor.authorCastrillón, M.en_US
dc.contributor.authorDéniz Suárez, Oscaren_US
dc.contributor.authorHernández, M.en_US
dc.contributor.otherCastrillon, Modesto-
dc.contributor.otherCastrillon-Santana, Modesto-
dc.contributor.otherDeniz, Oscar-
dc.date.accessioned2016-07-05T08:06:04Z-
dc.date.accessioned2018-06-15T09:25:53Z-
dc.date.available2016-07-05T08:06:04Z-
dc.date.available2018-06-15T09:25:53Z-
dc.date.issued2003en_US
dc.identifier.isbn3-540-40217-9-
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/17668-
dc.description.abstractFacial image processing is becoming widespread in human-computer applications, despite its complexity. High-level processes such as face recognition or gender determination rely on low-level routines that must e ectively detect and normalize the faces that appear in the input image. In this paper, a face detection and normalization system is described. The approach taken is based on a cascade of fast, weak classi ers that together try to determine whether a frontal face is present in the image.en_US
dc.languageengen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2652, p. 176-183en_US
dc.subject120304 Inteligencia artificialen_US
dc.titleThe ENCARA system for face detection and normalizationen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.relation.conference1st Iberian Conference on Pattern Recognition and Image Analysis
dc.identifier.doi10.1007/978-3-540-44871-6_21en_US
dc.identifier.scopus35248858750-
dc.identifier.isi000184832300021-
dcterms.isPartOfPattern Recognition And Image Analysis, Proceedings-
dcterms.sourcePattern Recognition And Image Analysis, Proceedings[ISSN 0302-9743],v. 2652, p. 176-183-
dc.contributor.authorscopusid22333278500-
dc.contributor.authorscopusid8562422200-
dc.contributor.authorscopusid57212239402-
dc.contributor.authorscopusid7401972145-
dc.identifier.absysnet726095-
dc.description.lastpage183en_US
dc.description.firstpage176en_US
dc.relation.volume2652en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.project.referenceD260/54066308-R, PI2000/042 y UNI2002/16es
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Artículoen_US
dc.identifier.wosWOS:000184832300021-
dc.contributor.daisngid1636522-
dc.contributor.daisngid32145428-
dc.contributor.daisngid599634-
dc.contributor.daisngid10133153-
dc.identifier.investigatorRIDC-6662-2008-
dc.identifier.investigatorRIDK-9040-2014-
dc.identifier.investigatorRIDNo ID-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Castrillon, M-
dc.contributor.wosstandardWOS:Deniz, O-
dc.contributor.wosstandardWOS:Hernandez, M-
dc.date.coverdateDiciembre 2003en_US
dc.identifier.conferenceidevents120361-
dc.identifier.ulpgcSíen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate04-06-2003-
crisitem.event.eventsenddate06-06-2003-
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.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.orcid0000-0001-9717-8048-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
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