A framework of face recognition with set of testing images
Assoc. Prof. Ling Li
Prof. Wan-Quan Liu
Assoc. Prof. Ajmal Mian
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Department of Computing
We propose a novel framework to solve the face recognition problem base on set of testing images. Our framework can handle the case that no pose overlap between training set and query set. The main techniques used in this framework are manifold alignment, face normalization and discriminant learning. Experiments on different databases show our system outperforms some state of the art methods.
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