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Journal of Electronic Imaging • Open Access

Weighted joint sparse representation-based classification method for robust alignment-free face recognition
Author(s): Bo Sun; Feng Xu; Guoyan Zhou; Jun He; Fengxiang Ge

Paper 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 l0l2-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.

Paper Details

Date Published: 26 January 2015
PDF: 7 pages
J. Electron. Imaging. 24(1) 013018 doi: 10.1117/1.JEI.24.1.013018
Published in: Journal of Electronic Imaging Volume 24, Issue 1
Show Author Affiliations
Bo Sun, Beijing Normal Univ. (China)
Feng Xu, Beijing Normal Univ. (China)
Guoyan Zhou, Beijing Normal Univ. (China)
Jun He, Beijing Normal Univ. (China)
Fengxiang Ge, Beijing Normal Univ. (China)

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