Fast Face Recognition Algorithm Based on Collaborative Representation Classification and Manhattan Norm
Guoyong Qiu, Weijian Mei · 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2019
We propose two simple and efficient algorithms to improve the efficiency of collaborative representation based classification with regularized least square (CRC_RLS) in Face Recognition. Based on the observation that the reconstruction coefficient vector infinite-norm is correlated to the corresponding test sample label, we propose CRC with infinite-norm (CRC_IN) algorithm, which greatly improve the speed. Furthermore, we improve the classification accuracy by proposing another algorithm. The CRC with Manhattan-norm (CRC_MN) algorithm is proposed by utilizing the strong correlation between the maximal Manhattan-norm of all groups in reconstruction coefficient vector and test sample label. The extensive experiments clearly show that CRC_MI run faster than CRC_RLS by about 47~131 times, the accuracy is the same or similar to CRC_RLS.