Joint representation classification for collective face recognition

作者：

Highlights：

• A joint representation classification (JRC) is presented.

• JRC codes the collective images simultaneously.

• Joint representation coding is formulated to a mixed l2,q−l2,p minimization.

• A unified method is developed and its convergence is established.

• Experiments confirm the collective face recognition performance of JRC over state-of-the-arts.

摘要

Highlights•A joint representation classification (JRC) is presented.•JRC codes the collective images simultaneously.•Joint representation coding is formulated to a mixed l2,q−l2,p minimization.•A unified method is developed and its convergence is established.•Experiments confirm the collective face recognition performance of JRC over state-of-the-arts.

论文关键词：SRC,JRC,IQM,Practical IQM

论文评审过程：Received 19 May 2015, Revised 19 June 2016, Accepted 5 October 2016, Available online 8 October 2016, Version of Record 17 October 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.10.004