UNSPECIFIED (2000) Coarse-to-fine planar object identification using invariant curve features and B-spline modeling. PATTERN RECOGNITION, 33 (9). pp. 1411-1422. ISSN 0031-3203

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Abstract

This paper presents a hybrid algorithm for coarse-to-fine-matching of affine-invariant object features and B-spline object curves, and simultaneous estimation of transformation parameters. For coarse-matching, two dissimilar measures are exploited by using the significant corners of object boundaries to remove candidate objects with large dissimilarity to a target object. For fine-matching, a robust point interpolation approach and a simple gradient-based algorithm are applied to B-spline object curves under MMSE criterion. The combination of coarse and fine-matching steps reduces the computational cost without degrading the matching accuracy. The proposed algorithm is evaluated using affine transformed objects. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Journal or Publication Title:	PATTERN RECOGNITION
Publisher:	PERGAMON-ELSEVIER SCIENCE LTD
ISSN:	0031-3203
Date:	September 2000
Volume:	33
Number:	9
Number of Pages:	12
Page Range:	pp. 1411-1422
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/13280

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