Discriminative multi-scale sparse coding for single-sample face recognition with occlusion

作者：

Highlights：

• An intra-class variant dictionary is learned based on PCA.

• Propose multi-scale error measurement strategy to improve sparsity and robustness.

• An optimization algorithm is proposed to solve multi-scale sparse coding model.

摘要

Highlights•An intra-class variant dictionary is learned based on PCA.•Propose multi-scale error measurement strategy to improve sparsity and robustness.•An optimization algorithm is proposed to solve multi-scale sparse coding model.

论文关键词：Face recognition,Multi-scale,Intra-class variant,Sparse coding,Outlier pixels

论文评审过程：Received 21 October 2016, Revised 13 January 2017, Accepted 13 January 2017, Available online 17 January 2017, Version of Record 12 March 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.01.021