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Bijective image registration using thin-plate splines

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Author

Summary, in English

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.

Publishing year

2006

Language

English

Pages

798-801

Publication/Series

Proceedings - International Conference on Pattern Recognition

Volume

3

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Mathematics

Keywords

  • Thin plate spline mappings
  • Quadratic sufficient constraints
  • Gauss-Newton method

Conference name

18th International Conference on Pattern Recognition, ICPR 2006

Conference date

2006-08-20 - 2006-08-24

Conference place

Hong Kong, China

Status

Published

ISBN/ISSN/Other

  • ISSN: 1051-4651
  • CODEN: PICREG