Face hallucination with imprecise-alignment using iterative sparse representation
作者：
Highlights：
• Propose a face hallucination method with mis-aligned face images.
• Global model based on discriminative reconstruction properties of sparse coding.
• Local model based on coupled visual vocabulary.
• Optimize the combination of global and local steps in an iterative manner.
• Experimental results show a fast convergence and good performance.
摘要
•Propose a face hallucination method with mis-aligned face images.•Global model based on discriminative reconstruction properties of sparse coding.•Local model based on coupled visual vocabulary.•Optimize the combination of global and local steps in an iterative manner.•Experimental results show a fast convergence and good performance.
论文关键词：Face hallucination,Mis-alignment,EM algorithm,Sparse representation
论文评审过程：Received 13 July 2013, Revised 29 January 2014, Accepted 24 March 2014, Available online 4 April 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.03.027
