maximize


@inproceedings{ClDrHeRuWi04,
  author = {Clarenz, U. and Droske, M. and Henn, S. and Rumpf, M. and Witsch,
	K.},
  title = {Computational methods for nonlinear image registration},
  booktitle = {Mathematical Models for Registration and Applications to Medical
	Imaging, Mathematics in Industry},
  year = {2006},
  editor = {Scherzer, O.},
  volume = {10},
  abstract = {Image registration is the process of the alignment of two or more
	data sets recorded with the same or different imaging machineries.
	Especially nonlinear image registration techniques allow the alignment
	of data sets that are mismatched in a nonuniform manner. Mathematically,
	this yields a nonlinear ill--conditioned inverse problem. In this
	presentation, we introduce several computational methods based on
	variational PDE approaches to obtain an approximate solution of the
	nonlinear registration problem. In each approach we have to solve
	a sequence of subproblems. Each subproblem has to be well-posed and
	should be efficiently solvable.},
  pdf = {http://numod.ins.uni-bonn.de/research/papers/public/ClDrHeRuWi04.pdf 1}
}