A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
Pose variance remains a challenging problem for face recognition. In this paper, a scheme including image synthesis and recognition is proposed to improve the performance of automa...
Congcong Li, Guangda Su, Yan Shang, Yingchun Li, Y...
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...
Recognition difficulty is statistically linked to ??? subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an int...
Geof H. Givens, J. Ross Beveridge, Bruce A. Draper...