@InProceedings{Kybic-SPIEMI2012,
  IS = { zkontrolovano 16 Jan 2013 },
  UPDATE  = { 2013-01-15 },
  author =       {Serradell, E. and Kybic, J. and Moreno-Noguer, F. and Fua, P.},
  title =        {Robust elastic {2D/3D} geometric graph matching},
  booktitle =    {SPIE Medical Imaging},
  pages =        {1-8},
  year =         {2012},
  volume =       {8314},
  doi =          {10.1117/12.910573},
  ut_isi =       {000304820000007},
  month =        {February},
  organization = {SPIE},
  project =      {GACR P202/11/0111},
  authorship =   {45-45-5-5},
  publisher =    {SPIE},
  isbn =         {978-0-8194-8963-0},
  book_pages =   {1494},
  day =          {6},
  address =      {Bellingham, USA},
  annote = {We present an algorithm for geometric matching of graphs
    embedded in 2D or 3D space. It is applicable for registering any
    graph-like structures appearing in biomedical images, such as
    blood vessels, pulmonary bronchi, nerve fibers, or dendritic
    arbors. Our approach does not rely on the similarity of local
    appearance features, so it is suitable for multimodal registration
    with a large difference in appearance. Unlike earlier methods, the
    algorithm uses edge shape, does not require an initial pose
    estimate, can handle partial matches, and can cope with nonlinear
    deformations and topological differences.},
  keywords =      {graph, registration},
  editor =        {Haynor, David},
  venue =         {San Diego, USA},
  url = {{ftp://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Kybic-SPIEMI2012.pdf}},
}