Pair of projections based on sparse consistence with applications to efficient face recognition

作者：

Highlights：

• An integrate projection learning based on sparse consistence for FR is proposed.

• Unsupervised/supervised information are introduced into PPL to extract the discriminant feature.

• Analysis of complexity and convergence guarantee the efficiency of FR.

• Experiments on the challenging face datasets validate the accuracy and efficiency of PPL.

摘要

Highlights•An integrate projection learning based on sparse consistence for FR is proposed.•Unsupervised/supervised information are introduced into PPL to extract the discriminant feature.•Analysis of complexity and convergence guarantee the efficiency of FR.•Experiments on the challenging face datasets validate the accuracy and efficiency of PPL.

论文关键词：Face recognition,Dimension reduction,Pair of projections,Sparse consistence

论文评审过程：Received 25 October 2016, Revised 20 March 2017, Accepted 21 March 2017, Available online 23 March 2017, Version of Record 28 March 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.03.012