782 search results - page 65 / 157 » Using Component Features for Face Recognition |
128
Voted
ICIP
2007
IEEE
16 years 4 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...
110
Voted
AMFG
2003
IEEE
15 years 8 months ago
2003
IEEE
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
127
Voted
ICIP
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpo...
138
Voted
PAMI
2007
15 years 2 months ago
2007
—We present a fully automatic face recognition algorithm and demonstrate its performance on the FRGC v2.0 data. Our algorithm is multimodal (2D and 3D) and performs hybrid (featu...
138
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...