This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2011 Third International Conference on Knowledge and Systems Engineering
Multi-scale Sparse Representation for Robust Face Recognition
Hanoi, Vietnam
October 14-October 17
ISBN: 978-0-7695-4567-7
Recently the Sparse Representation-based Classification (SRC) has been successfully used in face recognition. In SRC, a test image is coded by a linear combination of the training dictionary. In this paper, we propose a model extends from SRC named Multi-scale SRC (MSRC). The MSRC build the multi-scale dictionary for the training. A test image is then coded using this multi-scale dictionary. In addition, a voting scheme is applied which not only helps improving the recognition rate significantly, but also makes the algorithm more robust with occlusion. Experiments on representative face databases demonstrate that the MSRC is much more effective than the SRC.
Index Terms:
Face Recognition, SRC, Multi-Scale SRC
Citation:
Mao X. Nguyen, Quang M. Le, Vu Pham, Trung Tran, Bac H. Le, "Multi-scale Sparse Representation for Robust Face Recognition," kse, pp.195-199, 2011 Third International Conference on Knowledge and Systems Engineering, 2011
Usage of this product signifies your acceptance of the Terms of Use.