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Collaborative representation with reduced residual for face recognition

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Abstract

Collaboration representation-based classification (CRC) was proposed as an alternative approach to the sparse representation method with similar efficiency. The CRC is essentially a competition scheme for the training samples to compete with each other in representing the test sample, and the training class with the minimum representation residual from the test sample wins the competition in the classification. However, the representation error is usually calculated based on the Euclidean distance between a test sample and the weighted sum of all the same-class samples. This paper exploits alternative methods of calculating the representation error in the CRC methods to reduce the representation residual in a more optimal way, so that the sample classes compete with each other in a closer range to represent the test sample. A large number of face recognition experiments on three face image databases show that the CRC methods with optimized presentation residual achieve better performance than the original CRC, and the maximum improvement in classification accuracy is up to 12 %.

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Acknowledgments

This work was supported in part by the Research Fund for the Doctoral Program of Higher Education (NO. 20122302120072), the National Natural Science Foundation of China (51205078), State Key Laboratory of Robotics and System (HIT) (SKLRS-2012-MS-09), and Scientific Research Foundation for the Returned Overseas Chinese Scholars from the Education Ministry of China.

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Authors and Affiliations

  1. College of Economics, Shenzhen University, Shenzhen, 518060, China

    Chang Yang

  2. Harbin Institute of Technology Shenzhen Graduate School, University Town, Shenzhen, 518055, China

    Chengyin Liu, Ning Wu & Zhiying Wang

  3. Harbin Institute of Technology, Dazhi Street, Nangang District, Harbin, 150001, China

    Xiang Wu

  4. School of Computer and Information Technology, Beijing Jiaotong University, 3 Shangyuan Village, Beijing, 100044, China

    Yidong Li

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  1. Chang Yang
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  2. Chengyin Liu
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  3. Ning Wu
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  4. Xiang Wu
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  5. Yidong Li
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  6. Zhiying Wang
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Correspondence to Ning Wu.

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Yang, C., Liu, C., Wu, N. et al. Collaborative representation with reduced residual for face recognition. Neural Comput & Applic 25, 1741–1754 (2014). https://doi.org/10.1007/s00521-014-1665-2

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  • DOI: https://doi.org/10.1007/s00521-014-1665-2

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