Gender recognition from a partial view of the face using local feature vectors
![Thumbnail](/xmlui/bitstream/handle/10234/23950/33065.pdf.jpg?sequence=4&isAllowed=y)
Visualitza/
Impacte
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/159830
comunitat-uji-handle4:
INVESTIGACIONMetadades
Títol
Gender recognition from a partial view of the face using local feature vectorsData de publicació
2009Editor
Springer VerlagISSN
0302-9743Cita bibliogràfica
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.Tipus de document
info:eu-repo/semantics/conferenceObjectVersió de l'editorial
https://link.springer.com/chapter/10.1007/978-3-642-02172-5_62Versió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
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 [-]