Fast alignment for sparse representation based face recognition

作者：

Highlights：

• a fast alignment strategy for sparse representation based algorithms;

• pre-compute the most expensive operation, Hessian matrix, which was needed to be calculated in each iteration;

• two algorithms, deformable SRC and shape-constrained texture matching, are extended to their fast versions

摘要

•a fast alignment strategy for sparse representation based algorithms;•pre-compute the most expensive operation, Hessian matrix, which was needed to be calculated in each iteration;•two algorithms, deformable SRC and shape-constrained texture matching, are extended to their fast versions

论文关键词：Fast alignment,Sparse representation,Face recognition,Shape transformation

论文评审过程：Received 13 June 2016, Revised 4 January 2017, Accepted 7 March 2017, Available online 10 March 2017, Version of Record 26 March 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.03.013