Adaptative techniques for the human faces detection

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de Pernambuco (UFPE)
dc.date.accessioned2014-05-27T11:21:11Z
dc.date.accessioned2022-10-05T17:54:18Z
dc.date.available2014-05-27T11:21:11Z
dc.date.available2022-10-05T17:54:18Z
dc.date.created2014-05-27T11:21:11Z
dc.date.issued2004-11-23
dc.identifierICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems, p. 465-468.
dc.identifierhttp://hdl.handle.net/11449/67948
dc.identifier2-s2.0-8444248661
dc.identifier1233049484488761
dc.identifier5459937078079140
dc.identifier0000-0001-8975-3997
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3917535
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.
dc.languageeng
dc.relationICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
dc.rightsAcesso aberto
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 detection
dc.typeTrabalho apresentado em evento


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