Comparative study of face recognition techniques using joint transform correlation and independent component analysis

2005 ◽  
Author(s):  
Abdul Alsamman
Keyword(s):  
Face Recognition ◽  
Independent Component Analysis ◽  
Comparative Study ◽  
Component Analysis ◽  
Independent Component ◽  
Joint Transform Correlation

Tensor Independent Component Analysis and Tensor Non-Negative Factorization

2011 ◽  
pp. 202-225
Author(s):  
David Zhang ◽  
Fengxi Song ◽  
Yong Xu ◽  
Zhizhen Liang
Keyword(s):  
Face Recognition ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Biometric Recognition ◽  
Subspace Analysis ◽  
Potential Applications

In this chapter, we describe two tensor-based subspace analysis approaches (tensor ICA and tensor NMF) that can be used in many fields like face recognition and other biometric recognition. Section 10.1 gives the background and development of the two tensor-based subspace analysis approaches. Section 10.2 introduces tensor independent component analysis. Section 10.3 presents tensor nonnegative factorization. Section 10.4 discusses some potential applications of these two subspace analysis approaches in biometrics. Finally, we summarize this chapter in Section 10.5.

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