IS = { zkontrolovano 12 Jan 2014 },
  UPDATE  = { 2013-03-14 },
  author = {Am{\' a}vel Pinheiro, Miguel and Sznitman, Raphael and 
    Serradell, Eduard and Kybic, Jan and Moreno-Noguer, Francesc and 
    Fua, Pascal},
  authorship = {50-15-15-15-3-2},
  booktitle = {Information Processing in Medical Imaging},
pages       = { 572--583 },
book_pages  = { 782 },
editor      = { James C. Gee and Sarang Joshi and Kilian M. Pohl and William M. Wells and Lilla Z\"{o}llei },
isbn        = { 978-3-642-38867-5 },
publisher   = { Springer },
address     = {Heidelberg, Germany},
month       = { June--July },
day         = { 28--2 },
venue       = { Asilomar, US },
  keywords = {point cloud matching, graph matching, image registration, 
    active search, dendrites},
  annote = {We present a general approach for solving the~point-cloud
    matching problem for the~case of mildly nonlinear
    transformations. Our method quickly finds a coarse approximation
    of the solution by exploring a reduced set of partial matches
    using an approach to which we refer to as Active Testing
    Search (ATS). We apply the method to registration of graph
    structures by branching point matching. It is based solely on the
    geometric position of the points, no additional information is
    used nor the knowledge of an initial alignment. In the second
    stage, we use dynamic programming to refine the solution. We
    tested our algorithm on angiography, retinal fundus, and neuronal
    data gathered using electron and light microscopy. We show that
    our method solves cases not solved by most approaches, and is
    faster than the remaining ones.},
  Project = {SGS12/190/OHK3/3T/13, GACR P202/11/0111, SFRH/BD/77134/2011},
  Psurl = {[Pinheiro-IPMI2013.pdf]},
  Url = {ftp://cmp.felk.cvut.cz/pub/cmp/articles/amavemig/Pinheiro-IPMI2013.pdf},
  Title = {Active Testing Search for Point Cloud Matching},
  Year = {2013},
volume      = { 7917 },