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» Face Recognition with Large Pose Variation
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FGR
2011
IEEE
272views Biometrics» more  FGR 2011»
14 years 28 days ago
Adaptive discriminant analysis for face recognition from single sample per person
—Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition...
Meina Kan, Shiguang Shan, Yu Su, Xilin Chen, Wen G...
WACV
2008
IEEE
15 years 3 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince
ICIP
2005
IEEE
15 years 11 months ago
Saveface and Sirface: appearance-based recognition of faces and facial expressions
The problem of appearance-based recognition of faces and facial expressions is addressed. Previous work on sliced inverse regression (SIR) resulted in the formulation of an appear...
Yangrong Ling, Suchendra M. Bhandarkar, Xiangrong ...
PAMI
2007
262views more  PAMI 2007»
14 years 9 months ago
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
—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...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICIP
2005
IEEE
15 years 3 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta