An Efficient P-KCCA Algorithm for 2D-3D Face Recognition Using SVM
In this paper, a novel face recognition system for face recognition and identification based on a combination of Principal Component Analysis and Kernel Canonical Correlation Analysis (P-KCCA) using Support Vector Machine (SVM) is proposed. First, the P-KCCA method is utilized to detect and extract...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
VSB-Technical University of Ostrava
2015-01-01
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| Edice: | Advances in Electrical and Electronic Engineering |
| Témata: | |
| On-line přístup: | http://advances.utc.sk/index.php/AEEE/article/view/1473 |
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