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» Using Component Features for Face Recognition
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FGR
2006
IEEE
98views Biometrics» more  FGR 2006»
15 years 8 months ago
A Multiview Face Identification Model With No Geometric Constraints
Face identification systems relying on local descriptors are increasingly used because of their perceived robustness with respect to occlusions and to global geometrical deformati...
Jerry Jun Yokono, Tomaso Poggio
136
Voted
ICB
2009
Springer
412views Biometrics» more  ICB 2009»
15 years 9 months ago
Bayesian Face Recognition Based on Markov Random Field Modeling
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li
123
Voted
CVPR
2004
IEEE
16 years 4 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
131
Voted
CVPR
2010
IEEE
15 years 8 months ago
Face Recognition Based on Image Sets
We introduce a novel method for face recognition from image sets. In our setting each test and training example is a set of images of an individual’s face, not just a single ima...
Hakan Cevikalp, Bill Triggs
176
Voted
PAMI
2012
13 years 5 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...