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Discriminant mutual subspace learning for indoor and outdoor face recognition.
| Content Provider | CiteSeerX |
|---|---|
| Author | Meng, Helen Lin, Dahua Li, Zhifeng Tang, Xiaoou |
| Abstract | Outdoor face recognition is among the most challenging problems for face recognition. In this paper, we develop a discriminant mutual subspace learning algorithm for indoor and outdoor face recognition. Unlike traditional algorithms using one subspace to model both indoor and outdoor face images, our algorithm simultaneously learn two related subspaces for indoor and outdoor images respectively thus can better model both. To further improve the recognition performance we develop a DMSL-based multiclassifier fusion framework on Gabor images using a new fusion method called adaptive informative fusion scheme. Experimental results clearly show that this framework can greatly enhance the recognition performance. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Gabor Image Related Subspace Face Recognition Outdoor Face Recognition Outdoor Image Discriminant Mutual Subspace Dmsl-based Multiclassifier Fusion Framework Traditional Algorithm Challenging Problem Recognition Performance Adaptive Informative Fusion Scheme New Fusion Method Experimental Result Discriminant Mutual Subspace Learning Outdoor Face Image |
| Content Type | Text |
