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

作者：Li, Yanting; Jin, Junwei^*; Chen, C. L. Philip

来源：Journal of Real-Time Image Processing, 2021, 18(5): 1837-1849.

DOI：10.1007/s11554-021-01167-y

• Collaborative representation
• Sparse representation
• Two-phase test sample representation
• Real-time face recognition
• Pattern recognition

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.

• 单位
  河南工业大学