@PhdThesis{Chum-PhD-TR-2005-19,
  IS = { zkontrolovano 02 Feb 2006 },
  UPDATE  = { 2006-02-02 },
author =         {Chum, Ond{\v r}ej},
title =          {Two-view Geometry Estimation by Random Sample and Consensus},
school =         {Center for Machine Perception, 
                  K13133 FEE Czech Technical University},
address =        {Prague, Czech Republic},
year =           {2005},
month =          {September},
day =            {21},
type =           {PhD Thesis},
number =         {{CTU--CMP--2005--19}},
issn =           {1213-2365},
pages =          {92},
figures =        {31},
supervisor =     {Matas, Ji{\v r}{\' \i}},
authorship =     {100},
annote = {The problem of parameter estimation from data contaminated
  by outliers is known as robust estimation in the field of robust
  statistics. The RANSAC algorithm introduced by Fishler and Bolles in
  1981 is the most widely used robust estimator in the field of
  computer vision. RANSAC and similar techniques have been applied in
  the context of short baseline stereo, wide baseline stereo matching,
  motion segmentation, mosaicing , detection of geometric primitives,
  robust eigenimage matching and elsewhere.},
keywords =       {robust estimation, RANSAC, epipolar geometry, homography},
}