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IJON
2010
139views more  IJON 2010»
14 years 4 months ago
Multilinear principal component analysis for face recognition with fewer features
Jin Wang, Armando Barreto, Lu Wang, Yu Chen, Napht...
PR
2007
127views more  PR 2007»
14 years 9 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
15 years 4 months ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich
ICPR
2002
IEEE
15 years 10 months ago
Feature Selection for Pose Invariant Face Recognition
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...
Berk Gökberk, Ethem Alpaydin, Lale Akarun
ICPR
2004
IEEE
15 years 10 months ago
Precise Estimation of High-Dimensional Distribution and Its Application to Face Recognition
In statistical pattern recognition, it is important to estimate true distribution of patterns precisely to obtain high recognition accuracy. Normal mixtures are sometimes used for...
Shinichiro Omachi, Fang Sun, Hirotomo Aso