An Illumination Insensitive Representation for Face Verification in the Frequency Domain

Author

Garea, E. ; Heydi, L. ; Vazquez, Manuel ; Kittler, Josef ; Messer, Kevin

Author_Institution

Adv. Technol. Application Center, Havana

Volume

1

fYear

0

fDate

0-0 0

Firstpage

215

Lastpage

218

Abstract

We present a comparison of several face representation methods from the point of view of their sensitivity to illumination changes. The sensitivity is measured in terms of the overlap of the distributions of normalized correlations used for inter class and intra class image comparisons. The result suggests, that better illumination invariance could be achieved in feature spaces in the frequency domain derived for a differentiated image rather than using the original input image

Keywords

face recognition; feature extraction; frequency-domain analysis; image matching; image representation; face representation; face verification; feature space; frequency domain; illumination change sensitivity; illumination insensitive representation; illumination invariance; image comparison; Face detection; Face recognition; Fourier transforms; Frequency domain analysis; Image recognition; Lighting; Signal processing; Signal processing algorithms; Speech processing; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.249

Filename

1698871