Colour invariants for machine face recognition

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Colour invariants for machine face recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour-based invariants in the presence of large illumination changes between training and test data, when appearance changes due to cast shadows and non-Lambertian effects are significant. Specifically, there are three main contributions: (i) we employ a more sophisticated photometric model of the camera and show how its parameters can be estimated, (ii) we derive several novel colour-based face invariants, and (iii) on a large database of video sequences we examine and evaluate the largest number of colourbased representations in the literature. Our results suggest that colour invariants do have a substantial discriminative power which may increase the robustness and accuracy of recognition from low resolution images.
Ognjen Arandjelovic, Roberto Cipolla
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where FGR
Authors Ognjen Arandjelovic, Roberto Cipolla
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