@string{pattrec="Pattern Recognition"}
@string{elsevier="Elsevier"}
@ARTICLE{Domokos-Kato2009a,
  author = {Domokos, {Cs}aba and Kato, Zoltan},
  title = {Parametric Estimation of Affine Deformations of Planar Shapes},
  journal = pattrec,
  year = {2010},
  volume = {43},
  pages = {569--578},
  number = {3},
  month = mar,
  abstract = {We consider the estimation of affine transformations aligning a known
	2D shape and its distorted observation. The classical way to solve
	this registration problem is to find correspondences between the
	shapes and then compute the transformation parameters from these
	landmarks. Here we propose a novel approach where the exact transformation
	is obtained as the solution of a polynomial system of equations.
	The method has been tested on synthetic as well as on real images
	and its robustness in the presence of segmentation errors and additive
	geometric noise has also been demonstrated. We have successfully
	applied the method for the registration of hip prosthesis X-ray images.
	The advantage of the proposed solution is that it is fast, easy to
	implement, has linear time complexity, works without established
	correspondences and provides an exact solution regardless of the
	magnitude of transformation.},
  pdf = {papers/pattrec2010.pdf},
  publisher = elsevier
}