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Kernel collaboration representation-based manifold regularized model for unconstrained face recognition

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Abstract

Most recent researches have demonstrated the effectiveness of using kernel function into sparse representation and collaborative representation, which can overcome the problem of ignoring the nonlinear relationship of samples in face recognition and other classification problems. Considering the fact that space structure information (i.e., manifold structure or spatial consistence) can help a lot in robust sparse coding by nonlinear kernel metrics. In our paper, we present a kernel collaborative representation-based manifold regularized method, where we apply kernel collaborative representation with \({{\ell }_{2}}\)-regularization-based classifier and add spatial similarity structure to collaborative representation for benefiting classification accuracy. Meanwhile, the local binary patterns feature is used to increase discrimination of classifier and reduce the sensitivity to unconstrained case (i.e., occlusion or noise). So our method is a joint model of linear and nonlinear, local feature and distance metrics, kernel subspace structure and manifold structure. Experiments show that the proposed method outperforms several similar state-of-the-art methods in terms of accuracy and time cost.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant No. 61071199, the National Natural Science Foundation of China under Grant No. 61771420, the Natural Science Foundation of Hebei Province of China under Grant No. F2016203422.

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Authors and Affiliations

  1. School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China

    Meng Wang, Zhengping Hu, Zhe Sun & Shuhuan Zhao

  2. School of Physics and Electronic Engineering, Taishan University, Taian, 271021, China

    Meng Wang

  3. College of Electronic Information Engineering Baoding, Hebei University, Baoding, 071000, China

    Shuhuan Zhao

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  1. Meng Wang
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  2. Zhengping Hu
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  3. Zhe Sun
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  4. Shuhuan Zhao
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Correspondence to Zhengping Hu.

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Wang, M., Hu, Z., Sun, Z. et al. Kernel collaboration representation-based manifold regularized model for unconstrained face recognition. SIViP 12, 925–932 (2018). https://doi.org/10.1007/s11760-018-1236-6

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  • DOI: https://doi.org/10.1007/s11760-018-1236-6

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