Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Bijective image registration using thin-plate splines

Eriksson, Anders P LU and Åström, Karl LU orcid (2006) 18th International Conference on Pattern Recognition, ICPR 2006 3. p.798-801
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.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Thin plate spline mappings, Quadratic sufficient constraints, Gauss-Newton method
host publication
Proceedings - International Conference on Pattern Recognition
volume
3
pages
798 - 801
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
18th International Conference on Pattern Recognition, ICPR 2006
conference location
Hong Kong, China
conference dates
2006-08-20 - 2006-08-24
external identifiers
  • wos:000240705600192
  • other:CODEN: PICREG
  • scopus:34147151673
ISSN
1051-4651
DOI
10.1109/ICPR.2006.323
language
English
LU publication?
yes
id
3e5bd858-a5ca-4134-a4e0-f4c1c8c3ffa8 (old id 616953)
date added to LUP
2016-04-01 16:48:23
date last changed
2021-06-30 04:18:48
@inproceedings{3e5bd858-a5ca-4134-a4e0-f4c1c8c3ffa8,
  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.},
  author       = {Eriksson, Anders P and Åström, Karl},
  booktitle    = {Proceedings - International Conference on Pattern Recognition},
  issn         = {1051-4651},
  language     = {eng},
  pages        = {798--801},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {Bijective image registration using thin-plate splines},
  url          = {http://dx.doi.org/10.1109/ICPR.2006.323},
  doi          = {10.1109/ICPR.2006.323},
  volume       = {3},
  year         = {2006},
}