@string{iciar="International Conference on Image Analysis and Recognition"}
@string{lncs="Lecture Notes in Computer Science"}
@string{springer="Springer"}
@InProceedings{Domokos-Kato2008,
  author =	 {Domokos, {Cs}aba and Kato, Zoltan},
  title =	 {Binary Image Registration Using Covariant {G}aussian
                  Densities},
  booktitle =	 iciar,
  year =	 2008,
  pages =	 {455--464},
  editor =	 {A. Campilho and M. Kamel},
  address =	 {P\'ovoa de Varzim, Portugal},
  month =	 jun,
  volume =	 5112,
  series =	 lncs,
  publisher =	 springer,
  abstract =	 {We consider the estimation of 2D affine
                  transformations aligning a known binary shape and
                  its distorted observation. The classical way to
                  solve this registration problem is to find
                  correspondences between the two images and then
                  compute the transformation parameters from these
                  landmarks. In this paper, we propose a novel
                  approach where the exact transformation is obtained
                  as a least-squares solution of a linear system. The
                  basic idea is to fit a Gaussian density to the
                  shapes which preserves the effect of the unknown
                  transformation. It can also be regarded as a
                  consistent coloring of the shapes yielding two rich
                  functions defined over the two shapes to be
                  matched. The advantage of the proposed solution is
                  that it is fast, easy to implement, works without
                  established correspondences and provides a unique
                  and exact solution regardless of the magnitude of
                  transformation.},
  pdf =		 {papers/iciar2008.pdf},
}