期刊
SIGNAL PROCESSING
卷 100, 期 -, 页码 9-15出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2014.01.004
关键词
Face-image retrieval; Potential-field representation; Singular values; Rotation-shift-scale-invariant feature
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. (C) 2014 Elsevier B.V. All rights reserved.
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