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Pattern Recognition
Volume 38, Issue 1, January 2005, Pages 125-132
 
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doi:10.1016/j.patcog.2004.06.005    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2004 Pattern Recognition Society Published by Elsevier B.V.

An affine invariant curve matching method for photo-identification of marine mammals

C. Gopea, N. Kehtarnavaza, Corresponding Author Contact Information, E-mail The Corresponding Author, G. Hillmanb and B. Würsigc

aDepartment of Electrical Engineering, EC 33, University of Texas at Dallas, Richardson, TX 75083-0688, USA bDepartment of Pharmacology, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555-1031, USA cDepartment of Marine Biology, Texas A&M University at Galveston, 4700 Ave U, Bldg. 303, Galveston, TX 77551, USA

Received 24 October 2003; 
accepted 11 June 2004. 
Available online 23 August 2004.

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Abstract

Individual identification of marine mammals is of interest to marine biologists. This paper aims at the recognition of the edges associated with marine mammals whose pictures are taken under affine transformations. The introduced affine curve matching method uses the area of mismatch between a query and a database curve. This area is obtained by optimally aligning the curves based on the minimum affine distance involving their distinguishing points. The method is applied to databases of sea lions, gray whales, and dolphins, and its performance is compared with two other affine curve matching methods. The results show that the introduced curve matching approach outperforms the other approaches and thus further reduces the search time for identifying an individual. The developed method is of general purpose as it can be used for other affine curve matching applications.

Keywords: Affine invariant curve matching; Area-of-mismatch; Photo-identification of marine mammals

Article Outline

1. Introduction
2. Previous work on curve matching
3. Area-of-mismatch affine curve matching
3.1. Selecting distinguished points
3.2. Selection of appropriate smoothing scale
3.3. Comparison of point-sets
3.4. Affine transformation
3.5. Optimal affine transformation
3.6. Correspondence between point-sets
4. Results and discussion
5. Conclusion
Acknowledgements
References
Vitae











Pattern Recognition
Volume 38, Issue 1, January 2005, Pages 125-132
 
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