Fast face localisation and verification
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) 300311].
correlation face verification robust statistics pseudo-random sampling stochastic optimisation