IS = { zkontrolovano 07 Dec 2003 },
  UPDATE  = { 2003-10-09 },
  author =      {Chum, Ond{\v r}ej and Matas, Ji{\v r}{\' \i} and 
                 Kittler, Josef},
  title =       {Locally optimized RANSAC },
  year =        {2003},
  pages =       {236--243},
  booktitle =   {DAGM 2003: Proceedings of the 25th DAGM Symposium},
  editor =      {G. Goos, J. Hartmanis, J. van Leeuwen},
  publisher =   {Springer-Verlag},
  address =     {Heidelberger Platz 3, 14197, Berlin, Germany},
  isbn =        {3-540-40861-4},
  series =      {LNCS},
  number =      {2781},
  book_pages =  {621},
  month =       {September},
  day =         {10--12},
  venue =       {Magdeburg, Germany},
  annote = {A new enhancement of RANSAC, the locally optimized
    RANSAC (LO-RANSAC), is introduced. It has been observed that,
    to find an optimal solution (with a given probability), the number
    of samples drawn in RANSAC is significantly higher than
    predicted from the mathematical model. This is due to the
    incorrect assumption, that a model with parameters computed from
    an outlier-free sample is consistent with all inliers. The
    assumption rarely holds in practice. The locally optimized
    RANSAC makes no new assumptions about the data, on the contrary
    - it makes the above-mentioned assumption valid by applying local
    optimization to the solution estimated from the random sample.},
  keywords =    {RANSAC, LO-RANSAC, epipolar geometry, homography, WBS},
  authorship =  {50-40-10},
  project =     {IST-2001-32184, MIRACLE ICA1-CT-2000-70002, 
                 LN00B096, CTU 0306013},
  psurl       = {PDF},