@InProceedings{Micusik-CVPR2003,
  IS = { zkontrolovano 05 Dec 2003 },
  UPDATE  = { 2003-03-03 },
  author =      { Mi{\v c}u{\v s}{\'\i}k, Branislav and 
                  Pajdla, Tom{\'a}{\v s} },
  title =       { Estimation of Omnidirectional Camera Model from 
                  Epipolar Geometry },
  year =        { 2003 },
  pages       = { 485--490 },
  booktitle =   { CVPR 2003: Proceedings of the 2003 {IEEE} Computer
                  Society Conference on Computer Vision and Pattern
                  Recognition },
  editor      = { Danielle Martin },
  project     = { CTU 0209513, GACR 102/01/0971, MSM 212300013, 
                  MSMT KONTAKT 22-2003-04, BeNoGo IST-2001-39184 },
  volume      = { 1 },
  isbn        = { 0-7695-1900-8 },
  book_pages  = { 865 },
  publisher = { {IEEE} Computer Society },
  address     = { Los Alamitos, USA },
  month       = { June },
  day         = { 16--22 },
  venue    = { Madison,  USA },
  psurl    = { full text 
(PDF), 
(postscript), a4-poster (PDF) },
  keywords    = { omnidirectional camera, calibration, epipolar geometry },
  annote   = { We generalize simultaneous linear estimation of multiple
             view geometry and lens distortion presented by Fitzgibbon
             at {CVPR}~2001 for an omnidirectional (angle of view
             larger than 180 deg) camera. The lens calibration is
             done from image correspondences only, without any
             calibration objects or any assumption about the scene. In
             practical situations, the proposed method allows to
             estimate the new model from 9 correspondences and can be
             thus used in a {RANSAC} based estimation technique. },
}