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» Face Recognition Based on Discriminative Manifold Learning
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CVPR
2003
IEEE
15 years 11 months ago
Learning a discriminative classifier using shape context distances
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
Hao Zhang 0003, Jitendra Malik
FGR
2004
IEEE
193views Biometrics» more  FGR 2004»
15 years 1 months ago
Face Recognition Using Ada-Boosted Gabor Features
Face representation based on Gabor features has attracted much attention and achieved great success in face recognition area for the advantages of the Gabor features. However, Gab...
Peng Yang, Shiguang Shan, Wen Gao, Stan Z. Li, Don...
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Face Recognition using Energy Probability in DCT Domain
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...
Jean Choi, Yun-Su Chung, Ki-Hyun Kim, Jang-Hee Yoo
IJCV
2010
223views more  IJCV 2010»
14 years 4 months ago
Anthropometric 3D Face Recognition
Abstract We present a novel anthropometric three dimensional (Anthroface 3D) face recognition algorithm, which is based on a systematically selected set of discriminatory structura...
Shalini Gupta, Mia K. Markey, Alan C. Bovik
ICIP
2007
IEEE
15 years 11 months ago
Domain-Partitioning Rankboost for Face Recognition
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...
Bangpeng Yao, Haizhou Ai, Yoshihisa Ijiri, Shihong...