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|Title:||Bijective image registration using thin-plate splines|
|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 Place:||United States|
|Conference Name:||International Conference on Pattern Recognition (18th : 2006 : Hong Kong)|
|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|
|Appears in Collections:||Computer Science publications|
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