Multi-spectral low-rank structured dictionary learning for face recognition

作者：

Highlights：

• We propose a multi-spectral low-rank structured dictionary learning approach.

• We learn spectrum-common dictionary and spectrum-specific dictionaries.

• Low-rank structured regularization and incoherence terms are designed.

• Low-rank structured collaborative representation classification is provided.

摘要

•We propose a multi-spectral low-rank structured dictionary learning approach.•We learn spectrum-common dictionary and spectrum-specific dictionaries.•Low-rank structured regularization and incoherence terms are designed.•Low-rank structured collaborative representation classification is provided.

论文关键词：Multi-spectral face recognition,Multi-spectral low-rank structured dictionary learning,Spectrum-common dictionary,Spectrum-specific dictionary,Low-rank regularization

论文评审过程：Received 23 August 2015, Revised 6 January 2016, Accepted 24 January 2016, Available online 3 February 2016, Version of Record 23 August 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.01.023