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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43469
DC FieldValueLanguage
dc.contributor.authorCastrillón-Santana, M.en_US
dc.contributor.authorKruppa, H.en_US
dc.contributor.authorHernández-Tejera, M.en_US
dc.contributor.authorGuerra-Artal, Cayetanoen_US
dc.date.accessioned2018-11-21T15:24:25Z-
dc.date.available2018-11-21T15:24:25Z-
dc.date.issued2006en_US
dc.identifier.issn1137-3601en_US
dc.identifier.urihttp://hdl.handle.net/10553/43469-
dc.description.abstractReliable and real-time face detection is a basic ability for any Vision Based Interface. This paper combines and exploits the benefits of two different face detectors specialized each one in a specific context. The resulting system improves their respective individual performances by means of their cooperation, the integration of temporal coherence, persistence and explicit knowledge about the human face, achieving a robust and close to real-time multiresolution face detector.en_US
dc.languageengen_US
dc.relationTecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccionen_US
dc.relation.ispartofInteligencia Artificialen_US
dc.sourceInteligencia Artificial [ISSN 1137-3601], v. 9 (27), p. 63-72en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherFace Detectionen_US
dc.subject.otherReal-Timeen_US
dc.subject.otherHuman Computer Interaction.en_US
dc.titleTowards real-time multiresolution face/head detectionen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.4114/intartif.vol14iss48en_US
dc.identifier.scopus33645754465-
dc.contributor.authorscopusid22333278500-
dc.contributor.authorscopusid6506950592-
dc.contributor.authorscopusid56629068500-
dc.contributor.authorscopusid55966875800-
dc.identifier.eissn1988-3064-
dc.description.lastpage72-
dc.identifier.issue27-
dc.description.firstpage63-
dc.relation.volume9-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.date.coverdateAbril 2006
dc.identifier.ulpgcSíes
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.project.principalinvestigatorLorenzo Navarro, José Javier-
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.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.orcid0000-0001-9717-8048-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
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-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
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