@InProceedings{perdoch-iccv2007,
  IS = { zkontrolovano 15 Dec 2007 },
  UPDATE  = { 2007-12-04 },
  author =      {Michal Per{\v d}och and Ji{\v r}{\' i} Matas and 
                 {\v S}t{\v e}p{\' a}n Obdr{\v z}{\' a}lek},
  title =       {Stable Affine Frames on Isophotes},
  year =        {2007},
  pages =       {8},
  booktitle =   {ICCV 2007: Proceedings of Eleventh IEEE International
                 Conference on Computer Vision},
  editor =      {Dimitris Metaxas and Baba Vemuri and 
                 Amnon Shashua and Harry Shum},
  publisher =   {IEEE Computer Society Press},
  address =     {Los Alamitos, USA},
  isbn =        {978-1-4244-1631-8},
  book_pages =  {2240},
  month =       {October},
  day =         {14-20},
  venue =       {Rio de Janeiro, Brazil},
  organization ={IEEE Computer Society},
  annote = {We propose a new affine-covariant feature, the Stable
    Affine Frame (SAF). SAFs lie on the boundary of extremal regions,
    ie. on isophotes. Instead of requiring the whole isophote to be
    stable with respect to intensity perturbation as in maximally
    stable extremal regions (MSERs), stability is required only
    locally, for the primitives constituting the three-point
    frames. The primitives are extracted by an affine invariant
    process that exploits properties of bitangents and algebraic
    moments. Thus, instead of using closed stable isophotes, ie.
    MSERs, and detecting affine frames on them, SAFs are sought even
    on some unstable extremal regions. We show experimentally on
    standard datasets that SAFs have repeatability comparable to the
    best affine covariant detectors and consistently produce a
    significantly higher number of features per image. Moreover, the
    features cover images more evenly than MSERs, which facilitates
    robustness to occlusion.},
  keywords =    {affine,covariant, detector, maximally stable extremal regions, 
                 local affine frames, MSER, LAF},
  authorship =  {50-30-20},
  note =        {CDROM},
  project =     {GACR 201/06/1821, CTU0706313},
  psurl       = {[PDF, 1792 KB]},
  www =         { Michal Perdoch ,
                  Jiri Matas ,
                  Stepan Obdrzalek  },
  acceptance_ratio = { 23.5% },
}