@Article{Flach:CSC2011,
  IS = { zkontrolovano 21 Nov 2011 },
  UPDATE      = { 2011-11-13 },
  author = {Flach, Boris and Schlesinger, Dmitrij},
  title = {Modelling Distributed Shape Priors by {G}ibbs Random Fields of Second Order},
  journal = {Control Systems and Computers},
  publisher = {Nat. Acad. Sci. Ukraine},
  address = {Kiev, Ukraine},
  issn = {0130-5395},
  year = {2011},
  number = {2},
  pages = {14--24},
  project = {1M0567},
  note = {special issue on graphical models},
  archivePrefix = {arXiv},
  eprint = {1107.2807},
  primaryClass  = {CoRR},
  month       = { March-April },
  volume      = { 232 },
  keywords    = { Gibbs random fields, composite shape modelling, shape recognition },
  annote      = { We analyse the potential of Gibbs Random Fields for shape
    prior modelling. We show that the expressive power of second order
    GRFs is already sufficient to express simple shapes and spatial
    relations between them simultaneously. This allows to model and
    recognise complex shapes as spatial compositions of simpler
    parts. },
}