IS = { zkontrolovano 14 Jan 2013 },
  UPDATE  = { 2012-12-27 },
  author =      {Miksik, Ondrej and Mikolajczyk, Krystian},
  title =       {Evaluation of Local Detectors and Descriptors for Fast Feature Matching},
  year =        {2012},
  pages =       {2681-2684},
  booktitle =   {ICPR '12: Proceedings of 21st International
                 Conference on Pattern Recognition},
  address =     {10662 Los Vaqueros Circle, Los Alamitos, USA},
  publisher =   {IEEE Computer Society},
  isbn =        {978-4-9906441-0-9},
  book_pages =  {3826},
  month =       {November},
  day =         {11-15},
  venue =       {Tsukuba, Japan},
  organization ={IAPR},
  annote = {Local feature detectors and descriptors are widelyused in
    many computer vision applications and various methods have been
    proposed during the past decade.  There have been a number of
    evaluations focused on various aspects of local features, matching
    accuracy in particular, however there has been no comparisons
    considering the accuracy and speed trade-offs of recent extractors
    such as BRIEF, BRISK, ORB, MRRID, MROGH and LIOP. This paper
    provides a performance evaluation of recent feature detectors and
    compares their matching precision and speed in randomized kdtrees
    setup as well as an evaluation of binary descriptors with
    efficient computation of Hamming distance.},
  keywords =    {Features and Image Descriptors, Low-Level Vision, 
    Vision for Robotics},
  prestige =    {important},
  authorship =  {50-50},
  note =        {CD-ROM},
  project =     {GACR P103/12/G084, EU CHIST-ERA, UK EPSRC},
  psurl =       {[miksik2012icpr.pdf]},