A framework of face recognition with set of testing images
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...
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| Format: | Thesis |
| Language: | English |
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Curtin University
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/2378 |