@InProceedings{Matousek-CAIP2003,
  IS = { zkontrolovano 07 Dec 2003 },
  UPDATE  = { 2003-10-09 },
  author =       {Matou{\v s}ek, Martin and Hlav{\'a}{\v c}, V{\' a}clav},
  title =        {Epipolar Plane Images as a Tool to Seek Correspondences in a
                  Dense Sequence},
  booktitle =    {CAIP 2003: Computer Analysis of Images and Patterns},
  pages =        {74--81},
  book_pages =   {777},
  year =         {2003},
  editor =       {Nikolai Petkov and Michel A. Westenberg},
  venue =        {Groningen, The Netherlands},
  address =      {Berlin, Germany},
  day =          {25--27},
  keywords =     {epipolar plane image, EPI, correspondence},
  month =        {August},
  publisher =    {Springer},
  project =      {IST-2001-32184 ActIPret, MSM 212300013,
                  GACR 102/03/0440},
  isbn =         {3-540-40730-8},
  annote = {We present a method seeking correspondences in a dense
                  rectified image sequence, considered as a set of
                  Epipolar Plane Images (EPI). The main idea is to
                  employ dense sequence to get more information which
                  could guide the correspondence algorithm. The method
                  is intensity based, no features are detected. Our
                  spatio-temporal volume analysis approach aims at
                  accuracy and density of the correspondences.
  
                  Two cost functions are used, quantifying the belief
                  that given correspondence candidate is correct. The
                  first one is based on projections of one scene point
                  to the spatio-temporal data, while the second one
                  uses two-dimensional neighborhood (in image plane)
                  around such projections. The assumed opaque
                  Lambertian surface without occlusions allows us to
                  use a simple correspondence seeking algorithm based
                  on minimization of a global criterion using dynamic
                  programming.},
  psurl       =  {[Matousek-CAIP-2003.pdf]},
}