A comparison of photometric normalisation algorithms for face verification
James Short, Josef Kittler, Kieron Messer · 2004
The variation of illumination conditions of an object can produce large changes in tthe image plane, significantl 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.