IS = { zkontrolovano 19 Jan 2009 },
  UPDATE  = { 2008-06-24 },
  author =       {Shekhovtsov, Alexander and Garcia-Arteaga, Juan David and 
                  Werner, Tom{\' a}{\v s}},
  title =        {A Discrete Search Method for Multi-modal 
                  Non-Rigid Image Registration},
  year =         {2008},
  pages =        {915--920},
  booktitle =    {NORDIA 2008: Proceedings of the 2008 IEEE CVPR Workshop on
                  Non-Rigid Shape Analysis and Deformable Image Alignment},
  publisher =    {IEEE Computer Society Press},
  address =      {Los Alamitos, USA},
  book_pages =   {2816},
  month =        {June},
  day =          {27-28},
  venue =        {Anchorage, USA},
  organization = {IEEE Computer Society},
  annote = {We consider the problem of image matching under the
    unknown statistical dependence of the signals, i.e. a signal in
    one image may correspond to one or more signals in the other image
    with different probabilities. This problem is widely known as
    multimodal image registration and is commonly solved by the
    maximization of the empirical mutual information between the
    images. The deformation is typically represented in a parametric
    form and optimization w.r.t. it is performed using gradient-based
    methods. In contrast, we represent the deformation as a field of
    discretized displacements and optimize w.r.t. it using pairwise
    Gibbs energy minimization technique. This has potential advantage
    of finding good solutions even for problems having many local
  keywords =    {registration, mutual information, matching, energy, MRF},
  authorship =  {70-20-10},
  project =     {ICT-215078 DIPLECS, MSM6840770038, GACR 102/07/1317},
  prestige    = { important },
  note        = { CD-ROM },
  isbn        = { 978-1-4244-2339-2 },
  issn        = { 1063-6919 },