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» Enhancing Training Set for Face Detection
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CVPR
2001
IEEE
16 years 5 months ago
Learning Representative Local Features for Face Detection
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhan...
144
Voted
ICPR
2010
IEEE
15 years 23 days ago
Identifying Gender from Unaligned Facial Images by Set Classification
Abstract--Rough face alignments lead to suboptimal performance of face identification systems. In this study, we present a novel approach for identifying genders from facial images...
Wen-Sheng Chu, Chun-Rong Huang, Chu-Song Chen
CVPR
2009
IEEE
15 years 10 months ago
Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information
3D ultrasound imaging has been increasingly used in clinics for fetal examination. However, manually searching for the optimal view of the fetal face in 3D ultrasound volumes is c...
Shaolei Feng, Shaohua Kevin Zhou, Sara Good, Dorin...
118
Voted
ICVS
2009
Springer
15 years 10 months ago
FaceL: Facile Face Labeling
FaceL is a simple and fun face recognition system that labels faces in live video from an iSight camera or webcam. FaceL presents a window with a few controls and annotations displ...
David S. Bolme, J. Ross Beveridge, Bruce A. Draper
128
Voted
FGR
2004
IEEE
161views Biometrics» more  FGR 2004»
15 years 7 months ago
AdaBoost with Totally Corrective Updates for Fast Face Detection
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
Jan Sochman, Jiri Matas