Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image
In this paper, a novel Gabor-based kernel principal component analysis (PCA) with doubly nonlinear mapping is proposed for human face recognition. In our approach, the Gabor wavelets are used to extract facial features, then a doubly nonlinear mapping kernel PCA (DKPCA) is proposed to perform featur...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1997. - 15(2006), 9 vom: 12. Sept., Seite 2481-92 |
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| Format: | Article |
| Langue: | English |
| Publié: |
2006
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |