IS = { zkontrolovano 02 Jan 2015 },
  UPDATE  = { 2014-10-27 },
  author =      {Stria, Jan and Pr{\accent23 u}{\v s}a, Daniel and Hlav{\'a}{\v c}, V{\'a}clav},
  affiliation = {13133},
  authorship =  {50-25-25},
  title =       {Polygonal Models for Clothing},
  year =        {2014},
  pages =       {173-184},
  booktitle =   {Advances in Autonomous Robotics Systems, 15th Annual Conference, TAROS 2014},
  editor =      {Mistry, M. and Leonardis, A. and Witkowski, M. and Melhuish, C.},
  publisher =   {Springer},
  address =     {New York, USA},
  isbn =        {978-3-319-10400-3},
  series =      {Lecture Notes in Artificial Intelligence},
  number =      {8717},
  book_pages =  {284},
  month =       {September},
  day =         {1-3},
  venue =       {Birmingham, United Kingdom},
  organization ={Springer},
  annote =      {We address the problem of recognizing a configuration
                  of a piece of garment fairly spread out on a flat
                  surface. We suppose that the background surface is
                  invariant and that its color is sufficiently
                  dissimilar from the color of a piece of
                  garment. This assumption enables quite reliable
                  segmentation followed by extraction of the garment
                  contour. The contour is approximated by a polygon
                  which is then fitted to a polygonal garment
                  model. The model is specific for each category of
                  garment (e.g. towel, pants, shirt) and its
                  parameters are learned from training data. The
                  fitting procedure is based on minimization of the
                  energy function expressing dissimilarities between
                  observed and expected data. The fitted model
                  provides reliable estimation of garment landmark
                  points which can be utilized for an automated
                  folding using a pair of robotic arms. The proposed
                  method was experimentally verified on a dataset of
                  images. It was also deployed to a robot and tested
                  in a real-time automated folding.},
  keywords =    {clothes folding, robotic manipulation},
  prestige =    {international},
  project =     {FP7-288553 CloPeMa, SGS13/205/OHK3/3T/13, TACR TE01020197},
  psurl =       {
  www =         {http://www.taros.org.uk/},
  acceptance_ratio = {32/48},