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» New Feature Extraction Approaches for Face Recognition
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FGR
2002
IEEE
155views Biometrics» more  FGR 2002»
15 years 6 months ago
Model-Based Face Tracking for View-Independent Facial Expression Recognition
Facial expression recognition is necessary for designing any realistic human-machine interfaces. Previous published facial expression recognition systems achieve good recognition ...
Salih Burak Göktürk, Carlo Tomasi, Bernd...
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
15 years 7 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
BIOSIG
2008
159views Biometrics» more  BIOSIG 2008»
15 years 3 months ago
Template Protection for PCA-LDA-based 3D Face Recognition Systems
: Authentication based on biometrics became significantly important over the last years. Privacy and security concerns arise by the extensive deployment of biometrics. The used bio...
Daniel Hartung
ICMCS
2009
IEEE
168views Multimedia» more  ICMCS 2009»
14 years 11 months ago
Human activity recognition based on the blob features
In this paper, we present a novel approach for human activities recognition in the video. We analyze human activities in the sequential frames because human activities can be cons...
Jie Yang, Jian Cheng, Hanqing Lu
MVA
2007
154views Computer Vision» more  MVA 2007»
15 years 2 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui