Automatic Two Phase Sparse Representation Method and Face Recognition Experiments

摘要

The two phase sparse representation (TPSR) method has achieved promising face recognition performance. However, this method has the following flaw: its recognition accuracy varies with parameter M and at present there is no means to automatically set it. As a consequence, it becomes the bottleneck to apply the TPSR method to real-world problems. In this paper, we propose an improvement to TPSR (ITPSR), which can choose a proper value of parameter M for obtaining the optimal performance. Extensive experiments show that the proposed ITPSR is feasible and can obtain excellent performance.