3D face recognition using multiple features for local depth information
In this paper, we recognized multiple features from the local depth information of distance and angle calculation. These features are calculated from the twelve salient points by considering the distance and angle calculation. Then, fifty three non-independent features are extracted and the discr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/12637/1/3D%20face%20recognition%20using%20multiple%20features%20for%20local%20depth%20information.pdf |
| Summary: | In this paper, we recognized multiple features from the local
depth information of distance and angle calculation. These
features are calculated from the twelve salient points by
considering the distance and angle calculation. Then, fifty three non-independent features are extracted and the discriminating power is used for analyzing these features. The result shows an improvement compared to the previous work |
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