IS = { zkontrolovano 14 Jan 2013 },
  UPDATE  = { 2012-05-25 },
  author =      {Heller, Jan and Havlena, Michal and Pajdla, Tom{\'a}{\v s}},
  title =       {A Branch-and-Bound Algorithm for Globally Optimal Hand-Eye Calibration},
  year =        {2012},
  pages =       {1608-1615},
  booktitle =   {CVPR 2012: Proceedings of the 2012 IEEE Computer
                 Society Conference on Computer Vision and Pattern Recognition},
  publisher =   {IEEE Computer Society Press},
  address =     {New York, USA},
  isbn =        {978-1-4673-1228-8},
  issn =        {1063-6919},
  book_pages  = {3696},
  month =       {June},
  day =         {16--21},
  venue =       {Providence, USA},
  organization ={IEEE Computer Society},
  annote = {This paper introduces a novel solution to hand-eye calibration problem.
            It is the first method that uses camera measurements directly and at the 
            same time requires neither prior knowledge of the external camera 
            calibrations nor a known calibration device. Our algorithm uses 
            branch-and-bound approach to minimize an objective function based on the 
            epipolar constraint. Further, it employs Linear Programming to decide 
            the bounding step of the algorithm. The presented technique is 
            able to recover both the unknown rotation and translation 
            simultaneously and the solution is guaranteed to be globally 
            optimal with respect to the L_infty-norm.},
  keywords =    {Hand-Eye Calibration, Branch-and-Bound},
  prestige =    {important},
  authorship =  {34-33-33},
  project =     {FP7-SPACE-218814 PRoVisG, FP7-SPACE-241523 PRoViScout,
  psurl = {[10.1109/CVPR.2012.6247853.pdf]},
  doi =         {10.1109/CVPR.2012.6247853 },
  ut_isi =      {000309166201096},