Fast Face Localisation and Verification

J. Matas, K. Jonsson and J. Kittler
Centre for Vision, Speech and Signal Processing
University of Surrey
Guildford, Surrey GU2 5XH, United Kingdom
{g.matas,k.jonsson}@ee.surrey.ac.uk

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 is achieved by direct minimisation. During optimisation, the correlation is 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 [ 11 ].

• 1 Introduction
• 2 Optimised Robust Correlation
• 3 Experiments
• 4 Conclusions
• References