Singular value decomposition and local near neighbors for face recognition under varying illumination

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• 作者：Changhui Hu^a ; ^bAuthor Vitae ; Xiaobo Lu^a ; ^b ; ^{xblu2013@126.com}Author Vitae ; Mengjun Ye^cAuthor Vitae ; Weili Zeng^dAuthor Vitae
• 关键词：Illumination processing ; Singular value decomposition ; Illumination level ; Local near neighbors ; Joint illumination processing
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：64
• 期：Complete
• 页码：60-83
• 全文大小：5028 K
• 卷排序：64

文摘

HFSVD-face consists of SVD bases and normalized nonlinear singular values. AHFSVD-face is the HFSVD-face with a special nonlinear parameter. LNN-face is extracted from several local regions.