Dealing with inaccurate face detection for automatic gender recognition with partially occluded faces
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Otros documentos de la autoría: Andreu Cabedo, Yasmina; García-Sevilla, Pedro; Mollineda, Ramón A.
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Título
Dealing with inaccurate face detection for automatic gender recognition with partially occluded facesFecha de publicación
2009Editor
Springer Verlag (Germany)ISSN
0302-9743Cita bibliográfica
ANDREU, Yasmina; GARCÍA-SEVILLA, Pedro; MOLLINEDA, Ramón A. Dealing with inaccurate face detection for automatic gender recognition with partially occluded faces. En Iberoamerican Congress on Pattern Recognition. Springer, Berlin, Heidelberg, 2009. p. 749-757.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
Gender recognition problem has not been extensively studied in situations where the face cannot be accurately detected and it also can be partially occluded. In this contribution, a comparison of several
characteri ... [+]
Gender recognition problem has not been extensively studied in situations where the face cannot be accurately detected and it also can be partially occluded. In this contribution, a comparison of several
characterisation methods of the face is presented and they are evaluated in four different experiments that simulate the previous scenario. Two of the characterization techniques are based on histograms, LBP and local contrast values, and the other one is a new kind of features, called Ranking Labels, that provide spatial information. Experiments have proved Ranking Labels description is the most reliable in inaccurate situations [-]
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Lecture notes in computer science, 2009, v. 5856Derechos de acceso
© Springer Verlag (Germany)
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info:eu-repo/semantics/openAccess
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