Adaptative techniques for the human faces detection

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorMarar, João Fernando
dc.creatorCosta, Danilo Nogueira
dc.creatorPinheiro, Olympic Jose
dc.creatorCosta de Barros Carvalho Filho, Edson
dc.date2014-05-27T11:21:11Z
dc.date2016-10-25T18:20:03Z
dc.date2014-05-27T11:21:11Z
dc.date2016-10-25T18:20:03Z
dc.date2004-11-23
dc.date.accessioned2017-04-06T01:10:51Z
dc.date.available2017-04-06T01:10:51Z
dc.identifierICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems, p. 465-468.
dc.identifierhttp://hdl.handle.net/11449/67948
dc.identifierhttp://acervodigital.unesp.br/handle/11449/67948
dc.identifier2-s2.0-8444248661
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/889334
dc.descriptionThis 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.
dc.languageeng
dc.relationICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
dc.rightsinfo:eu-repo/semantics/closedAccess
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 detection
dc.typeOtro


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