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