21 search results - page 2 / 5 » Incremental Learning of Boosted Face Detector |
FGR
2004
IEEE
13 years 8 months ago
2004
IEEE
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...
CVPR
2007
IEEE
13 years 8 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
A cost-sensitive extension of boosting, denoted as asymmetric boosting, is presented. Unlike previous proposals, the new algorithm is derived from sound decision-theoretic princip...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...