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» Face Recognition Based on Discriminative Manifold Learning
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ICB
2007
Springer
176views Biometrics» more  ICB 2007»
15 years 1 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
86
Voted
ECCV
2006
Springer
15 years 11 months ago
Face Recognition from Video Using the Generic Shape-Illumination Manifold
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
Ognjen Arandjelovic, Roberto Cipolla
79
Voted
SSPR
2004
Springer
15 years 3 months ago
Combining Classifier for Face Identification at Unknown Views with a Single Model Image
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Tae-Kyun Kim, Josef Kittler
TKDE
2011
479views more  TKDE 2011»
14 years 4 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
ICANN
2005
Springer
15 years 3 months ago
Discriminative Common Images for Face Recognition
Linear discrimination analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Ba...
Vo Dinh Minh Nhat, Sungyoung Lee