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Machine Vision and Applications : Volume 27

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Object detection based on scale-invariant partial shape matching

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Incremental maximum margin criterion based on eigenvalue decomposition updating algorithm

Better than SIFT?

Robust face recognition using sparse representation in LDA space

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Robust face recognition using sparse representation in LDA space

Content Provider	Springer Nature Link
Author	Adamo, Alessandro Grossi, Giulia Lanzarotti, Raffaella Lin, Jianyi
Copyright Year	2015
Abstract	In this article, we address the problem of face recognition under uncontrolled conditions. The proposed solution is a numerical robust algorithm dealing with face images automatically registered and projected via the linear discriminant analysis (LDA) into a holistic low-dimensional feature space. At the heart of this discriminative system, there are suitable nonconvex parametric mappings based on which a fixed-point technique finds the sparse representation of test images allowing their classification. We theoretically argue that the success achieved in sparsity promoting is due to the sequence of values imposed on a characteristic parameter of the used mapping family. Experiments carried out on several databases (ORL, YaleB, BANCA, FRGC v2.0) show the robustness and the ability of the system for classification purpose. In particular, within the area of sparsity promotion, our recognition system shows very good performance with respect to those achieved by the state-of-the-art $$\ell _1$$ norm-based sparse representation classifier (SRC), the recently proposed $$\ell _2$$ norm-based collaborative representation classifier (CRC), the LASSO-based sparse decomposition technique, and the weighted sparse representation method (WSRC), which integrates sparsity and data locality structure.
Starting Page	837
Ending Page	847
Page Count	11
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	26
Issue Number	6
e-ISSN	14321769
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-06-27
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sparsity recovery Face recognition Fixed-point iteration schema Nonlinear nonconvex mappings SRC, CRC, LASSO, WSRC algorithms Pattern Recognition Image Processing and Computer Vision Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

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