Coarse-to-fine planar object identification using invariant curve features and B-spline modeling
UNSPECIFIED. (2000) Coarse-to-fine planar object identification using invariant curve features and B-spline modeling. PATTERN RECOGNITION, 33 (9). pp. 1411-1422. ISSN 0031-3203Full text not available from this repository.
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|
|Number of Pages:||12|
|Page Range:||pp. 1411-1422|
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