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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/67948
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dc.contributor.authorMarar, João Fernando-
dc.contributor.authorCosta, Danilo Nogueira-
dc.contributor.authorPinheiro, Olympic Jose-
dc.contributor.authorCosta de Barros Carvalho Filho, Edson-
dc.date.accessioned2014-05-27T11:21:11Z-
dc.date.accessioned2016-10-25T18:20:03Z-
dc.date.available2014-05-27T11:21:11Z-
dc.date.available2016-10-25T18:20:03Z-
dc.date.issued2004-11-23-
dc.identifier.citationICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems, p. 465-468.-
dc.identifier.urihttp://hdl.handle.net/11449/67948-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/67948-
dc.description.abstractThis paper presents results from an efficient approach to an automatic detection and extraction of human faces from images with any color, texture or objects in background, that consist in find isosceles triangles formed by the eyes and mouth.en
dc.format.extent465-468-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectArtificial Neural Network-
dc.subjectBackpropagation-
dc.subjectFace Recognition-
dc.subjectFeature Extraction-
dc.subjectMachine Vision and Image Processing; Adaptive Architecture-
dc.subjectAdaptive architecture-
dc.subjectAutomatic detection-
dc.subjectMachine vision and image processing-
dc.subjectComputer architecture-
dc.subjectComputer vision-
dc.subjectFeature extraction-
dc.subjectImage processing-
dc.subjectNeural networks-
dc.subjectFace recognition-
dc.titleAdaptative techniques for the human faces detectionen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Federal de Pernambuco (UFPE)-
dc.description.affiliationDepto. de Comp. Bauru Campus de Baum Univ. Estadual Paulista Julio M.F., SP-
dc.description.affiliationFaac UNESP-
dc.description.affiliationCin UFPE-
dc.description.affiliationUnespFaac UNESP-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems-
dc.identifier.scopus2-s2.0-8444248661-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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