A comparative study of face representations in the frequency domain

Authors:
Eduardo Garea Llano;Josef Kittler;Kieron Messer;Heydi Mendez Vazquez
Affiliations:
Advanced Technology Application Center, Siboney Playa, Cuba;Centre for Vision Speech and Signal Processing, University of Surrey, UK;Centre for Vision Speech and Signal Processing, University of Surrey, UK;Advanced Technology Application Center, Siboney Playa, Cuba
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

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Abstract

The variation of illumination of an object can produce large changes in the image plane, significantly impairing the performance of face verification algorithms. In this paper we present a comparison of several face representation methods from the point of view of their sensibility to illumination changes. The sensibility is measured in term of the overlap of distribution of normalized correlations for inter class and intra class image comparison. We compared a combination of differentiated image in the frequency domain and the performance of Fourier parameters to obtain an illumination insensitive representation. The result suggests, that better illumination invariance could be achieve in feature spaces developed for a differentiated image rather than using the original input image.