@string{springer="Springer"}
@string{ccis="Communications in Computer and Information Science"}
@INCOLLECTION{Kato2013a,
  author = {Zoltan Kato},
  title = {A Unifying Framework for Correspondence-Less Shape Alignment and
	Its Medical Applications},
  booktitle = {Proceedings of International Conference on Intelligent Interactive
	Technologies and Multimedia},
  publisher = springer,
  year = {2013},
  editor = {Anupam Agrawal and R.C. Tripathi and M.D. Tiwari},
  volume = {276},
  series = ccis,
  pages = {40--52},
  address = {Allahabad, India},
  month = mar,
  note = {Keynote talk},
  abstract = {We give an overview of our general framework for registering 2D and
	3D objects without correspondences. Classical solutions consist in
	extracting landmarks, establishing correspondences and then the aligning
	transformation is obtained via a complex optimization procedure.
	In contrast, our framework works without landmark correspondences,
	is independent of the magnitude of transformation, easy to implement,
	and has a linear time complexity. The efficiency and robustness of
	the method has been demonstarted using various deformations models.
	Herein, we will focus on medical applications.}
}