@InProceedings{Chum-ACCV2004,
  IS = { zkontrolovano 30 Mar 2004 },
  UPDATE  = { 2004-03-26 },
author =      {Chum, Ond{\v r}ej and Matas, Ji{\v r}{\' \i} and
               Obdr{\v z}{\' a}lek, {\v S}t{\v e}p{\' a}n},
title =       {Enhancing {RANSAC} by Generalized Model Optimization},
booktitle =   {Proc. of the Asian Conference on Computer Vision (ACCV)},
address =     {Seoul, Korea South},
year =        {2004},
month =       {January},
day =         {27--30},
isbn        = {89-954842-0-9},
publisher   = {Asian Federation of Computer Vision Societies},
book_pages  = {1181},
pages    =    {812--817},
figures  =    {8},
authorship =  {34-33-33},
psurl    =    {[Chum-ACCV04.pdf]},
project  =  {IST-2001-32184, CTU 0306013, CTU 0307013, LN00B096},
annote = {An extension of the RANSAC procedure is proposed.  By adding
  a generalized model optimization step (the LO step) applied only to
  models with a score (quality) better than all previous ones, an
  algorithm with the following desirable properties is obtained: a
  near perfect agreement with theoretical (i.e. optimal) performance
  and lower sensitivity to noise and poor conditioning.  The chosen
  scheduling strategy is shown to guarantee that the optimization step
  is applied so rarely that it has minimal impact on the execution
  time.},
keywords =    {RANSAC, LO-RANSAC, Epipolar geometry, LAF},
editor      = {Hong, Ki-Sang and Zhang,Zhengyou},
venue       = {Jeju Island, Korea South },
volume      = { 2 },
}