A comparison of photometric normalisation algorithms for face verification

Authors:
James Short;Josef Kittler;Kieron Messer
Affiliations:
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, Surrey, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, Surrey, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, Surrey, UK
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

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Abstract

The variation of illumination conditions of an object can produce large changes in the image plane, significantly impairing the performance of face verification algorithms. We present a comparison of five photometric normalisation algorithms for use in pre-processing face images for the purpose of verification. The algorithms are tested on various configurations of three contrasting databases, namely the Yale B database, the XM2VTS database and the BANCA database.