Face recognition with unitary regression classification based on minimizing TPE
Junqi Wang · Computer Engineering and Applications Journal · 2013
For the issue that existing regression classification methods in face recognition do not consider total projection error within classes well, a unitary regression classification method based on minimizing Total Projection Error(TPE)is proposed. Characteristics decomposition is used to find unitary rotation matrix after the projection error matrix within class of all the training data is calculated by projection matrix of each class. Then, unitary rotation matrix is used to convert each training image vector to a new vector space, and the specific projection matrix of each class is worked out. Minimum projection error of each class in unitary rotating subspace is used to finish face recognition. The effectiveness and robustness of proposed method has been verified by experiments on the two common face databases FEI and FERET. Experimental results show that proposed method has better recognition accuracy than several other advanced regression classification approaches.