Gender recognition from a partial view of the face using local feature vectors
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/159830
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Gender recognition from a partial view of the face using local feature vectorsDate
2009Publisher
Springer VerlagISSN
0302-9743Bibliographic citation
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.Type
info:eu-repo/semantics/conferenceObjectPublisher version
https://link.springer.com/chapter/10.1007/978-3-642-02172-5_62Version
info:eu-repo/semantics/acceptedVersionSubject
Abstract
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 [-]