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`A real-time classification model based on joint sparse-collaborative representation

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Abstract

Due to the low computational complexity, the two-phase test sample representation method shows outstanding advantages in the field of real-time face recognition. However, its first phase does not fully consider the imbalance of the determined K-nearest training samples. This defect is not well reflected and will seriously affect the recognition accuracy of the second phase. In this paper, we explore the above issues and propose to incorporate the unselected training samples into the modeling process. The proposed method not only allows the unselected samples to perform the final representation but also makes the selected nearest training samples play a more significant role than the unselected ones in classification. It is efficiently solved with an analytical solution. The rationales and probability interpretation of the proposed method are presented to further guarantee its rationality and effectiveness. Extensive experiments on diverse face databases are conducted to demonstrate the superior recognition performance in comparison with other competing classifiers.

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Acknowledgements

This work was funded in part by the National Natural Science Foundation of China under Grant 62106233 and 62106068, in part by the Key Research Program of Higher Education in Henan under Grant 21A520009, in part by the 2020 Science and Technology Research Project of Henan Province under Grant 202102210122, and in part by the Grant 13501050072, 2020BSJJ027, and 24400004.

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Authors and Affiliations

  1. College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450000, China

    Yanting Li

  2. College of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou, 450000, China

    Junwei Jin

  3. School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510641, China

    C. L. Philip Chen

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  1. Yanting Li
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  2. Junwei Jin
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  3. C. L. Philip Chen
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Correspondence to Junwei Jin.

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Li, Y., Jin, J. & Chen, C.L.P. `A real-time classification model based on joint sparse-collaborative representation. J Real-Time Image Proc 18, 1837–1849 (2021). https://doi.org/10.1007/s11554-021-01167-y

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