DocumentCode :
130038
Title :
Enhanced collaborative representation based Classification
Author :
Zhonghua Liu ; Xuhui Zhao ; Tao Huang ; Jiexin Pu ; Yanna Si
Author_Institution :
Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
447
Lastpage :
450
Abstract :
Sparse representation has attracted great attention in past years. Sparse Representation-based Classification (SRC) algorithm was developed and successfully used in face recognition. However, the importance of sparsity is much emphasized in SRC and the use of collaborative representation (CR) in SRC is ignored. In reality, it is the collaborative representation but not the l1-norm sparsity that makes SRC powerful for face recogntion. Based on collaborative representation based classification (CRC) method, we proposed an enhanced collaborative representation based classification (ECRC). Experimental results on face databases demonstrate the effectiveness of our method.
Keywords :
face recognition; image classification; image enhancement; image representation; linear programming; sparse matrices; ECRC method; SRC algorithm; enhanced collaborative representation based classification method; face databases; face recognition; l1-norm sparsity; sparse representation-based classification algorithm; Classification algorithms; Collaboration; Databases; Equations; Face; Face recognition; Training; Sparse representation; collaborative representation; enhanced collaborative representation based classification (ECRC); face recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
Type :
conf
DOI :
10.1109/ICInfA.2014.6932697
Filename :
6932697
Link To Document :
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