Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/57261
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Type: Conference paper
Title: Bijective image registration using thin-plate splines
Author: Eriksson, A.
Astrom, K.
Citation: Proceedings. 18th International Conference on Pattern Recognition, 20-24 August, 2006, Hong Kong, Volume 3 / Y. Y. Tang, S. P. Wang, G. Lorette, D. S. Yeung and H. Yan (eds.) : : pp.798-801
Publisher: IEEE
Publisher Place: United States
Issue Date: 2006
ISBN: 0769525210
Conference Name: International Conference on Pattern Recognition (18th : 2006 : Hong Kong)
Statement of
Responsibility: 
Anders P. Eriksson and Kalle Astrom
Abstract: Image registration is the process of geometrically aligning two or more images. In this paper we describe a method for registering pairs of images based on thin-plate spline mappings. The proposed algorithm minimizes the difference in gray-level intensity over bijective deformations. By using quadratic sufficient constraints for bijectivity and a least squares formulation this optimization problem can be addressed using quadratic programming and a modified Gauss-Newton method. This approach also results in a very computationally efficient algorithm. Example results from the algorithm on three different types of images are also presented.
Description: © 2006 IEEE
RMID: 0020095414
DOI: 10.1109/ICPR.2006.323
Appears in Collections:Computer Science publications

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