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Coupled cross-regression for low-resolution face recognition

[+] Author Affiliations
Zhifei Wang

Beijing Jiaotong University, Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, No. 3 of Shangyuan Residence, Haidian District, Beijing 100044, China

Zhenjiang Miao

Beijing Jiaotong University, Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, No. 3 of Shangyuan Residence, Haidian District, Beijing 100044, China

Yanli Wan

Beijing Jiaotong University, Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, No. 3 of Shangyuan Residence, Haidian District, Beijing 100044, China

Zhen Tang

Beijing Jiaotong University, Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, No. 3 of Shangyuan Residence, Haidian District, Beijing 100044, China

J. Electron. Imaging. 22(2), 023015 (May 22, 2013). doi:10.1117/1.JEI.22.2.023015
History: Received January 10, 2013; Revised April 5, 2013; Accepted April 26, 2013
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Abstract.  Dimensional mismatch between a low-resolution (LR) surveillance face image and its high-resolution (HR) template makes recognition very difficult. A novel method called coupled cross-regression (CCR) is proposed to deal with this problem. Instead of processing in the original observing space directly, CCR projects LR and HR face images into a unified low-embedding feature space. Spectral regression is employed to improve generalization performance and reduce computational complexity. Meanwhile, cross-regression is developed to utilize HR embedding to increase the information of the LR space, thus improving the recognition performance. Experiments on the FERET and CMU PIE face database show that CCR outperforms existing structure-based methods in terms of recognition rate as well as computational complexity.

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© 2013 SPIE and IS&T

Citation

Zhifei Wang ; Zhenjiang Miao ; Yanli Wan and Zhen Tang
"Coupled cross-regression for low-resolution face recognition", J. Electron. Imaging. 22(2), 023015 (May 22, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.2.023015


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