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Colour invariants for machine face recognition

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2 Author(s)
Arandjelovic╠ü, O. ; Trinity Coll., Univ. of Cambridge, Cambridge ; Cipolla, R.

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 colour-based 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.

Published in:

Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on

Date of Conference:

17-19 Sept. 2008

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