IS = { zkontrolovano 23 Jan 2014 },
  UPDATE  = { 2014-01-06 },
  author       = {Sanchez-Riera, Jordi and Cech, Jan and Horaud, Radu P.},
  title        = {Robust Spatiotemporal Stereo for Dynamic Scenes},
  booktitle    = {21st International Conference on Pattern Recognition},
  pages        = {360-363},
  day	       = {11--15},
  month        = {November},
  year         = {2012},
  book_pages = {3768},
  publisher    = {IEEE Computer Society},
  address      = {New York, USA},
  isbn         = {978-4-9906441-2-3},
  venue        = {Tsukuba Science City, Japan},
  url          = {http://perception.inrialpes.fr/Publications/2012/SCH12},
  ANNOTE       = {Stereo matching is a challenging problem, especially
                  in the presence of noise or of weakly textured
                  objects. Using temporal information in a binocular
                  video sequence to increase the discriminability for
                  matching has been introduced in the recent past, but
                  all the proposed methods assume either constant
                  disparity over time, or small object motions, which
                  is not always true. We introduce a novel stereo
                  algorithm that exploits temporal information by
                  robustly aggregating a similarity statistic over
                  time, in order to improve the matching accuracy for
                  weak data, while preserving regions undergoing large
                  motions without introducing artifacts.},
  keywords     = {spatiotemporal stereo, matching, seed growing},