@Inproceedings{TylecekICCV-SIG2011,
  IS = { zkontrolovano 13 Jan 2012 },
  UPDATE  = { 2011-12-29 },
  author =	 {Tyle{\v c}ek, Radim and {\v S}{\'a}ra, Radim},
  title =	 {Modeling Symmetries for Stochastic Structural Recognition},
  booktitle =	 {Proceedings of the 2nd International Workshop on Stochastic
                  Image Grammars at 2011 IEEE International Conference on
                  Computer Vision},
  editor =	 {Todorovic, Sinisa and Zhu, Song-Chun and Leonardis, Ales},
  year =	 {2011},
  book_pages =	 {2204},
  pages =	 {632-639},
  venue =	 {Barcelona, Spain},
  month =	 {November},
  day =		 {12},
  organization = {IEEE},
  publisher =	 {IEEE},
  address =	 {Piscataway, USA},
  annote =	 {We propose a method for stochastic parsing of images
    with regular structures exhibiting symmetries, such as facades of
    buildings. The translational symmetry is represented by an array
    of elements (windows) that is generated with a stochastic grammar
    which allows structural exceptions and spatial deviations for
    individual elements. The reflection symmetry of the elements is
    automatically inferred as a part of the learning process, where a
    set of random weak features is boosted into a final mixture. A
    hierarchical probability model is built for the attributed 'words'
    generated by the proposed grammar. The image parsing result is
    then found as the most probable interpretation visited with MCMC
    sampler which is designed to efficiently explore the space of
    possible configurations.},
  keywords =	 {computer vision, structural recognition, symmetries,
                  stochastic grammar, MCMC, facades, windows},
  project =	 {SGS10/278/OHK3/3T/13, MSM6840770012},
  isbn =	 {978-1-4673-0061-2},
  note =         {CD-ROM},
  url =          {http://cmp.felk.cvut.cz/ftp/articles/tylecek/Tylecek-SIG-ICCV2011.pdf},
  authorship =   {70-30},
}