Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/15086
Título: Combining face and facial feature detectors for face detection performance improvement
Autores/as: Castrillón-Santana, Modesto 
Hernández Sosa, José Daniel 
Lorenzo-Navarro, Javier 
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2012
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 
Resumen: In this paper, we experimentally study the combination of face and facial feature detectors to improve face detection performance. The face detection problem, as suggeted by recent face detection challenges, is still not solved. Face detectors traditionally fail in large-scale problems and/or when the face is occluded or di erent head rotations are present. The combination of face and facial feature detectors is evaluated with a public database. The obtained results evidence an improvement in the positive detection rate while reducing the false detection rate. Additionally, we prove that the integration of facial feature detectors provides useful information for pose estimation and face alignment.
URI: http://hdl.handle.net/10553/15086
ISBN: 9783642332746
ISSN: 0302-9743
DOI: 10.1007/978-3-642-33275-3_10
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7441 LNCS, p. 82-89
Colección:Actas de congresos
miniatura
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