@InProceedings{Kostkova-CVWW2004,
  IS = { zkontrolovano 30 Mar 2004 },
  UPDATE  = { 2004-02-16 },
  author =   {Kostkov{\'a}, Jana and {\v S}{\'a}ra, Radim},
  title =   {Automatic Disparity Search Range Estimation for Stereo Pairs
                  of Unknown Scenes},
  booktitle =   {Proceedings of the Computer Vision Winter Workshop 2004 (CVWW'04)},
  book_pages =  {236},
  pages =       {1--10},
  year =   {2004},
  month =   {February},
  day =         {4--6},
  editor =      {Sko{\v c}aj, Danijel},
  publisher =   {Slovenian Pattern Recognition Society},
  address =     {Ljubljana, Slovenia},
  venue =       {Piran, Slovenia},
  organization = {University of Ljubljana, Faculty of Computer and
                  Information Science},
  project =     {IST-2001-32184, MSM 212300013, GACR 102/03/0440, CTU 0306413},
  autorship =   {50-50},
  keywords = {stereo vision, 3D reconstruction},
  annote = {Known disparity search range is crucial for stereo matching tasks,
since many algorithms require the disparity search range to be known.
Searching over the whole disparity range (i.e. [-image width,
image width]) is not only very time consuming (mainly for large
images), but even many stereo algorithms do not perform well with
unspecified disparity search range. Therefore, automatic estimation
of disparity search range for unknown stereo image pairs is highly
desired. In low-level image processing (i.e. without knowing any
information about the captured scene) this task is very difficult.  We
propose an approach based on Confidently Stable Matching, which is
fast, precise and robust. We demonstrate the algorithm properties on
benchmark image sets with known disparity search range as well as on
unknown complex scenes.},
}