IS = { zkontrolovano 14 Jan 2013 },
  UPDATE  = { 2012-12-27 },
  author =      {Chum, Ond{\v r}ej and Matas, Ji{\v r}{\' \i}},
  title =       {Homography Estimation from Correspondences of Local Elliptical Features},
  year =        {2012},
  pages =       {3236-3239},
  booktitle =   {ICPR '12: Proceedings of 21st International
                 Conference on Pattern Recognition},
  address =     {10662 Los Vaqueros Circle, Los Alamitos, USA},
  publisher =   {IEEE Computer Society},
  isbn =        {978-4-9906441-0-9},
  book_pages  = {3826},
  month =       {November},
  day =         {11-15},
  venue =       {Tsukuba, Japan},
  organization ={IAPR},
  annote = {We propose a novel unified approach for homography
    estimation from two or more correspondences of local elliptical
    features. The method finds a homography defined by first-order
    Taylor expansions at two (or more) points. The approximations are
    affine transformations that are constrained by the
    ellipse-to-ellipse correspondences. Unlike methods based on
    projective invariants of conics, the proposed method generates
    only a single homography model per pair of ellipse
    correspondences. We show experimentally, that the proposed method
    generates models of precision comparable or better than the
    state-of-the-art at lower computational costs.},
  keywords =    {homography estimation, ellipse correspondence},
  prestige =    {important},
  authorship =  {50-50},
  note =        {CD-ROM},
  project =     {GACR P103/12/2310, FP7-ICT-247022 MASH},
  psurl =       {http://cmp.felk.cvut.cz/~chum/papers/chum-icpr12.pdf},