@InProceedings{Micusik-ACCV2004a,
  IS = { zkontrolovano 30 Mar 2004 },
  UPDATE  = { 2004-01-21 },
author =      {Mi{\v c}u{\v s}{\'\i }k, Branislav and Pajdla, Tom{\'a}{\v s}},
title =       {Para-catadioptric Camera Auto-calibration from Epipolar Geometry},
booktitle =   {Proc. of the Asian Conference on Computer Vision (ACCV)},
address     = {Seoul, Korea South},
venue =       {Jeju Island, 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 =       {748--753},
figures =     {10},
authorship =  {50-50},
psurl       = {full text (PDF), presentation (PDF)},
project  = { CTU 0306813, GACR 102/01/0971, MSM 212300013, 
               MSMT Kontakt 22-2003-04, BeNoGo IST-2001-39184 },
annote = {We present a method for a para-catadioptric camera
  auto-calibration from point correspondences in two views based on
  the epipolar constraint. Besides rigidity, no assumptions about the
  scene are made (e.g. presence of a calibration object). The method
  leads to a closed form solution - to a polynomial eigenvalue problem
  and therefore no iterative minimizing process has to be used. The
  closed form solution allows to apply a 9-point {RANSAC} robust
  estimation technique and thus use automatically established point
  correspondences contaminated by mismatches. As a result of the
  calibration method, the calibrated camera, the estimated essential
  matrix, and the outliers in point matches are obtained. We
  demonstrate our method in experiments with commercially available
  parabolic mirror. Moreover, we show that the para-catadioptric
  camera model can be used in RANSAC to solve correspondence problem
  for a larger class of catadioptric cameras.},
keywords =    {para-catadioptric camera, auto-calibration, epipolar geometry},
editor      = { Hong, Ki-Sang and Zhang, Zhengyou },
volume      = { 2 },
}