Single Sample Face Recognition under Varying Illumination via QRCP Decomposition
In this paper, we present a novel high-frequency facial feature and a high-frequency based sparse representation classification to tackle single sample face recognition (SSFR) under varying illumination. Firstly, we propose the assumption that QRCP bases can represent intrinsic face surface features...
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 18. Dez. |
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Auteur principal: | |
Autres auteurs: | , , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2018
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Sujets: | Journal Article |
Accès en ligne |
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