DocumentCode
412840
Title
A comparison of photometric normalisation algorithms for face verification
Author
Short, James ; Kittler, Josef ; Messer, Kieron
Author_Institution
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK
fYear
2004
fDate
17-19 May 2004
Firstpage
254
Lastpage
259
Abstract
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.
Keywords
face recognition; lighting; principal component analysis; BANCA database; XM2VTS database; face images; face verification algorithms; illumination conditions; photometric normalisation algorithms; principal component analysis; Face detection; Image databases; Image recognition; Kernel; Lighting; Photometry; Principal component analysis; Probes; Signal processing algorithms; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on
Print_ISBN
0-7695-2122-3
Type
conf
DOI
10.1109/AFGR.2004.1301540
Filename
1301540
Link To Document