Efficient illumination normalization of facial image

This paper presents a simple method for normalizing non-linear illumination variations in facial images. Facial pixels are modelled by an empirical probability distribution, which is estimated by kernel density estimation. The illumination is normalized by transforming the empirical distribution function.