@string{springer="Springer"}
@string{ccis="Communications in Computer and Information Science"}
@INCOLLECTION{Kato2013,
  author = {Zoltan Kato},
  title = {Linear and nonlinear shape alignment without correspondences},
  booktitle = {Proceedings of International Joint Conference on Computer Vision,
	Imaging and Computer Graphics - Theory and Applications (Revised
	Selected Papers)},
  publisher = springer,
  year = {2013},
  editor = {Paul Richard and Martin Kraus and Robert S. Laramee and Gabriela
	Csurka and José Braz},
  volume = {359},
  series = ccis,
  pages = {3--17},
  address = {Rome, Italy},
  note = {Keynote talk},
  abstract = {We consider the estimation of diffeomorphic deformations aligning
	a known binary shape and its distorted observation. The classical
	solution consists in extracting landmarks, establishing correspondences
	and then the aligning transformation is obtained via a complex optimization
	procedure. Herein we present an alternative solution which works
	without landmark correspondences, is independent of the magnitude
	of transformation, easy to implement, and has a linear time complexity.
	The proposed universal framework is capable of recovering linear
	as well as nonlinear deformations.}
}