Visual recognition by subspace approaches on LBP features
Traditionally, subspace approaches are applied on the holistic features. Recently, local binary pattern (LBP) has become popular because it is robust to illumination variations and alignment error. In this thesis, we exploit the advantages of both. Firstly, we propose a fast and accurate subspace fa...
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| Format: | Thesis |
| Language: | English |
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2015
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| Online Access: | https://hdl.handle.net/10356/62538 |