Virtual illumination grid for correction of uncontrolled illumination in facial images

Face recognition under uncontrolled illumination conditions is still considered an unsolved problem. In order to correct for these illumination conditions, we propose a virtual illumination grid (VIG) approach to model the unknown illumination conditions. Furthermore, we use coupled subspace models...

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Bibliographic Details
Published in:Pattern recognition 2011-09, Vol.44 (9), p.1980-1989
Main Authors: Boom, B.J., Spreeuwers, L.J., Veldhuis, R.N.J.
Format: Article
Language:English
Subjects:
Albedo
Face recognition
Facial
Galleries
Illumination
Mathematical models
Model-based face illumination correction
Virtual illumination grid
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Summary:Face recognition under uncontrolled illumination conditions is still considered an unsolved problem. In order to correct for these illumination conditions, we propose a virtual illumination grid (VIG) approach to model the unknown illumination conditions. Furthermore, we use coupled subspace models of both the facial surface and albedo to estimate the face shape. In order to obtain a representation of the face under frontal illumination, we relight the estimated face shape. We show that the frontal illuminated facial images achieve better performance in face recognition. We have performed the challenging Experiment 4 of the FRGCv2 database, which compares uncontrolled probe images to controlled gallery images. Our illumination correction method results in considerably better recognition rates for a number of well-known face recognition methods. By fusing our global illumination correction method with a local illumination correction method, further improvements are achieved.
ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2010.07.022