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

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Illumination processing,Singular value decomposition,Illumination level,Local near neighbors,Joint illumination processing

论文评审过程：Received 19 May 2015, Revised 24 October 2016, Accepted 27 October 2016, Available online 4 November 2016, Version of Record 9 November 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.10.029