@article{Matas-ivc99,
  IS =     { zkontrolovano 26 Nov 99 },
  Author =   { Matas, J. and Jonsson, K. and Kittler, J. },
  Institution =   { U of Surrey },
  Title =   { Fast Face Localisation and Verification},
  Journal =   { Image and Vision Computing },
  Publisher =   { Elsevier },
  ISSN =   { 0262-8856},
  Address =   { Oxford, UK },
  Year =   { 1999 },
  Volume =   { 17 },
  Month =   { June },
  Number =   { 8 },
  Pages =   { 578-581 },
  Keywords =   { Face verification; Correlation; Robust statistics;
                  Pseudo-random sampling; Stochastic optimisation},
  Abstract =   { We propose a method for fast face localisation and
                  verification (identification) based on a robust form
                  of correlation. Geometric and photometric
                  normalisation of face images was achieved by direct
                  minimisation. During optimisation, the correlation
                  was estimated from a set of samples drawn from a
                  Sobol sequence. This Monte Carlo technique speeds
                  the evaluation of correlation approximately twenty
                  five times and makes the optimisation process
                  near-real time. In recognition experiments, the
                  optimised robust correlation outperformed two
                  standard techniques based on the dynamic link
                  architecture [M.Lades et al., IEEE Transactions on
                  Computers, 42(3) (1993) 300--311] },
  PSURL =   {postscript
                  },
  project =   { VZ98/012 },
}