Combining face and facial feature detectors for face detection performance improvement


Autoria(s): Castrillón-Santana, Modesto; Hernández Sosa, José Daniel; Lorenzo Navarro, José Javier
Data(s)

24/11/2015

24/11/2015

2012

Resumo

<p>[EN]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.</p>

Identificador

http://hdl.handle.net/10553/15086

716514

<p>10.1007/978-3-642-33275-3_10</p>

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

<p>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 17th Iberoamerican Congress, CIARP 2012. Berlin: Springer, 2012 (Lecture Notes in Computer Science, ISSN 0302-9743; vol. 7441, pp 82-89). ISBN 978-3-642-33274-6. Online ISBN 978-3-642-33275-3</p>

Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject