Orthonormal dictionary learning and its application to face recognition

作者：

Highlights：

• A discriminative orthonormal dictionary learning method is proposed for low-rank representation with fast computation.

• Two kinds of discriminative information is used for learning the dictionary.

• Experiments on face recognition from both image and video demonstrate the effectiveness of the proposed method.

摘要

•A discriminative orthonormal dictionary learning method is proposed for low-rank representation with fast computation.•Two kinds of discriminative information is used for learning the dictionary.•Experiments on face recognition from both image and video demonstrate the effectiveness of the proposed method.

论文关键词：Orthonormal dictionary learning,Low-rank representation,Face recognition

论文评审过程：Received 27 August 2015, Revised 29 January 2016, Accepted 26 March 2016, Available online 8 April 2016, Version of Record 23 April 2016.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.03.010