Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/36275
Title: Face-image retrieval based on singular values and potential-field representation
Authors: Jian, MW
Lam, KM 
Keywords: Face-image retrieval
Potential-field representation
Singular values
Rotation-shift-scale-invariant feature
Issue Date: 2014
Publisher: Elsevier
Source: Signal processing, 2014, v. 100, p. 9-15 How to cite?
Journal: Signal processing 
Abstract: In this paper, an efficient method based on singular values and potential-field representation is proposed for face-image retrieval. Firstly, we theoretically prove that the leading singular values of an image can be used as a rotation-shift-scale-invariant global feature. Then, for the feature-extraction stage, we exploit these special properties of the singular values to devise a compact, global feature for face-image representation. We also use the singular values of the potential field derived from edge gradients to enhance the retrieval performance. Experimental results based on the GTAV database show that the use of singular values as rotation-shift-scale-invariant global features is able to produce plausible retrieval results.
URI: http://hdl.handle.net/10397/36275
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2014.01.004
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
Citations as of Jun 25, 2017

WEB OF SCIENCETM
Citations

8
Last Week
0
Last month
Citations as of Jun 29, 2017

Page view(s)

19
Last Week
2
Last month
Checked on Jun 25, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.