This paper focuses on the detection of objects with a Lambertian surface under varying illumination and pose. modeling the different illuminations from a small number of images in a training set this automaticallyvoids the illumination effects, allowing fast illumination invariant detection, without having to create a large training set.

osadchy-keren-illumination-pose.pdf

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