Gender recognition from a partial view of the face using local feature vectors
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Otros documentos de la autoría: Andreu Cabedo, Yasmina; Mollineda, Ramón A.; García-Sevilla, Pedro
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/159830
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Título
Gender recognition from a partial view of the face using local feature vectorsFecha de publicación
2009Editor
Springer VerlagISSN
0302-9743Cita bibliográfica
ANDREU, Yasmina; MOLLINEDA, Ramón A.; GARCÍA-SEVILLA, Pedro. Gender recognition from a partial view of the face using local feature vectors. En Iberian Conference on Pattern Recognition and Image Analysis. Springer, Berlin, Heidelberg, 2009. p. 481-488.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://link.springer.com/chapter/10.1007/978-3-642-02172-5_62Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
This paper proposes a gender recognition scheme focused on local appearance-based features to describe the top half of the face. Due to the fact that only the top half of the face is used, this is a
feasible approach ... [+]
This paper proposes a gender recognition scheme focused on local appearance-based features to describe the top half of the face. Due to the fact that only the top half of the face is used, this is a
feasible approach in those situations where the bottom half is hidden. In the experiments, several face detection methods with different precision levels are used in order to prove the robustness of the scheme with respect to variations in the accuracy level of the face detection process [-]