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...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 18. Dez.
Auteur principal:	Hu, Chang-Hui (Auteur)
Autres auteurs:	Lu, Xiao-Bo, Liu, Pan, Jing, Xiao-Yuan, Yue, Dong
Format:	Article en ligne
Langue:	English
Publié:	2018
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article