Weighted joint sparse representation-based classification method for robust alignment-free face recognition

Bo Sun; Feng Xu; Guoyan Zhou; Jun He; Fengxiang Ge

doi:10.1117/1.JEI.24.1.013018

26 January 2015 Weighted joint sparse representation-based classification method for robust alignment-free face recognition

Bo Sun, Feng Xu, Guoyan Zhou, Jun He, Fengxiang Ge

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Journal of Electronic Imaging, Vol. 24, Issue 1, 013018 (January 2015). https://doi.org/10.1117/1.JEI.24.1.013018

Abstract

This work proposes a weighted joint sparse representation (WJSR)-based classification method for robust alignment-free face recognition, in which an image is represented by a set of scale-invariant feature transform descriptors. The proposed method considers the correlation and the reliability of the query descriptors. The reliability is measured by the similarity information between the query descriptors and the atoms in the dictionary, which is incorporated into the l₀∖l₂-norm minimization to seek the optimal WJSR. Compared with the related state-of-art methods, the performance is advanced, as verified by the experiments on the benchmark face databases.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Bo Sun, Feng Xu, Guoyan Zhou, Jun He, and Fengxiang Ge "Weighted joint sparse representation-based classification method for robust alignment-free face recognition," Journal of Electronic Imaging 24(1), 013018 (26 January 2015). https://doi.org/10.1117/1.JEI.24.1.013018

Published: 26 January 2015

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