scholarly journals Is face recognition really a Compressive Sensing problem?

CVPR 2011 ◽  
2011 ◽  
Author(s):  
Qinfeng Shi ◽  
Anders Eriksson ◽  
Anton van den Hengel ◽  
Chunhua Shen
Keyword(s):  
Face Recognition ◽  
Compressive Sensing

Face recognition via a projective compressive sensing system

2012 ◽  
Author(s):  
Brant M. Kaylor ◽  
Charlie J. Keith ◽  
Peter A. Roos ◽  
Randy R. Reibel
Keyword(s):  
Face Recognition ◽  
Compressive Sensing ◽  
Sensing System

Face recognition using a new compressive sensing-based feature extraction method

2017 ◽  
Vol 77 (11) ◽  
pp. 14007-14027 ◽  
Author(s):  
Mehdi Banitalebi-Dehkordi ◽  
Amin Banitalebi-Dehkordi ◽  
Jamshid Abouei ◽  
Konstantinos N. Plataniotis
Keyword(s):  
Feature Extraction ◽  
Face Recognition ◽  
Compressive Sensing ◽  
Extraction Method ◽  
Feature Extraction Method

Sparse Representation for View-Based Face Recognition

2010 ◽  
pp. 164-177
Author(s):  
Imran Naseem ◽  
Imran Naseem ◽  
Roberto Togneri ◽  
Roberto Togneri ◽  
Mohammed Bennamoun
Keyword(s):  
Face Recognition ◽  
Compressive Sensing ◽  
Sparse Representation ◽  
Experimental Evaluation ◽  
Recognition Algorithms ◽  
Sparse Representation Classification ◽  
Video Based Face Recognition

In this chapter, the authors discuss the problem of face recognition using sparse representation classification (SRC). The SRC classifier has recently emerged as one of the latest paradigm in the context of view-based face recognition. The main aim of the chapter is to provide an insight of the SRC algorithm with thorough discussion of the underlying “Compressive Sensing” theory. Comprehensive experimental evaluation of the approach is conducted on a number of standard databases using exemplary evaluation protocols to provide a comparative index with the benchmark face recognition algorithms. The algorithm is also extended to the problem of video-based face recognition for more realistic applications.

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