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Title: Combining face and facial feature detectors for face detection performance improvement
Authors: Castrillón-Santana, Modesto 
Hernández Sosa, José Daniel 
Lorenzo-Navarro, Javier 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 2012
Journal: Lecture Notes in Computer Science 
Conference: 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 
Abstract: 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.
ISBN: 9783642332746
ISSN: 0302-9743
DOI: 10.1007/978-3-642-33275-3_10
Source: 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
Appears in Collections:Actas de congresos
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