University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images

Feng, Z, Song, X, Yang, X, Wu, X and Yang, J (2016) Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images Neurocomputing, 185. pp. 53-63.

Full text not available from this repository.

Abstract

Traditional discriminant analysis (DA) methods are usually not amenable to being studied only with a few or even single facial image per subject. The fundamental reason lies in the fact that the traditional DA approaches cannot fully reflect the variations of a query sample with illumination, occlusion and pose variations, especially in the case of small sample size. In this paper, we develop a multi-scale fuzzy sparse discriminant analysis using a local third-order tensor model to perform robust face classification. More specifically, we firstly introduced a local third-order tensor model of face images to exploit a set of multi-scale characteristics of the Ridgelet transform. Secondly, a set of Ridgelet transformed coefficients with respect to each block from a face image are respectively generated. We then merge all these coefficients to form a new representative vector for the image. Lastly, we evaluate the sparse similarity grade between each training sample and class by constructing a sparse similarity metric, and redesign the traditional discriminant criterion that contains considerable fuzzy sparse similarity grades to perform robust classification. Experimental results conducted on a set of well-known face databases demonstrate the merits of the proposed method, especially in the case of insufficient training samples.

Item Type: Article
Subjects : Electronic Engineering
Authors :
NameEmailORCID
Feng, Zz.feng@surrey.ac.ukUNSPECIFIED
Song, XUNSPECIFIEDUNSPECIFIED
Yang, XUNSPECIFIEDUNSPECIFIED
Wu, XUNSPECIFIEDUNSPECIFIED
Yang, JUNSPECIFIEDUNSPECIFIED
Date : 12 April 2016
Identification Number : https://doi.org/10.1016/j.neucom.2015.12.019
Copyright Disclaimer : © 2015 Elsevier B.V. All rights reserved
Uncontrolled Keywords : Fuzzy sparse discriminant analysis, Multi-scale local analysis, Face recognition
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:55
Last Modified : 18 May 2017 12:53
URI: http://epubs.surrey.ac.uk/id/eprint/840829

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800