IS = { zkontrolovano 16 Jan 2013 },
  UPDATE  = { 2013-01-09 },
author =      {Pinheiro, Miguel and Kybic, Jan},
title =       {Graph and point cloud registration},
institution = {Center for Machine Perception, K13133 FEE
               Czech Technical University},
address =     {Prague, Czech Republic},
year =        {2013},
month =       {January},
type =        {Research Report},
number =      {CTU--CMP--2013--02},
issn =        {1213-2365},
pages =       {27},
figures =     {13},
psurl       = {[Pinheiro-TR-2013-02.pdf]},
project =     {SGS12/190/OHK3/3T/13, GACR P202/11/0111, SFRH/BD/77134/2011},
annote =      {Often the texture information present on vessel and
               vascular structures is insufficient in order to match
               content in two or more images. One approach to this problem
               is to segment the structure, and match its geometric
               properties throughout the images. This can be achieved
               using point or graph matching techniques. A number of
               algorithms were tested in order to compare the performance
               of these approaches. We propose a technique that searches
               for similarities on neighborhoods of nodes, which breaks
               the problem into smaller tasks. On this report, we present
               different methods to match globally and locally graphs,
               together with an evaluation of each method.},
keywords =    {graph matching,point cloud matching,image registration,medical imaging},