381 search results - page 26 / 77 » Boosting linear discriminant analysis for face recognition |
PAMI
2007
13 years 7 months ago
2007
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
IBPRIA
2005
Springer
14 years 1 months ago
2005
Springer
We present an inherently discriminative approach to face recognition. This is achieved by automatically selecting key points from lines that sketch the face and extracting textural...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...