@article{Mikolajczyk-IJCV05,
  IS = { zkontrolovano 26 Jan 2006 },
  UPDATE  = { 2006-01-12 },
  Author      = { Mikolajczyk, K and
                  Tuytelaars, T and
                  Schmid, C and
                  Zisserman, A and
                  Matas, J and
                  Schaffalitzky, F and
                  Kadir, T and
                  van Gool, L},
  Title       = { A comparison of affine region detectors },
  Journal     = { International Journal of Computer Vision },
  Year        = { 2005 },
  Month       = { November },
  Volume      = { 65  },
  Number      = { 7 },
  Pages       = { 43 - 72 },
  Publisher   = { Springer },
  Address     = { Berlin, Germany },
  ISSN        = { 0920-5691 },
  Keywords    = { affine region detectors, MSER},
  project =     { 1ET101210407 },
  annote = { The paper gives a snapshot of the state of the art in
     affine covariant region detectors, and compares their performance
     on a set of test images under varying imaging conditions. Six
     types of detectors are included: detectors based on affine
     normalization around Harris (Mikolajczyk and Schmid, 2002;
     Schaffalitzky and Zisserman, 2002) and Hessian points
     (Mikolajczyk and Schmid, 2002), a detector of 'maximally stable
     extremal regions', proposed by Matas et al. (2002); an edge-based
     region detector (Tuytelaars and Van Gool, 1999) and a detector
     based on intensity extrema (Tuytelaars and Van Gool, 2000), and a
     detector of 'salient regions', proposed by Kadir, Zisserman and
     Brady (2004). The performance is measured against changes in
     viewpoint, scale, illumination, defocus and image compression },
}