Image Detection Under Varying Illumination and Pose

This paper focuses on the detection of objects with Lambertian surface under both varying dlumination and pose We offer to apply a novel detection method that proceeds by modeling the d@erent illuminations from a small number of images in the training set, this automatically voids the illumination effects, allowing fast dlumination invariant detection, without having to create a large training set It is demonstrated that the method ‘~ts in ” nicely with previous work about the modeling oj the set of object appearances under varying illumination In the experiments, an object was correctly detected under image plane rotations in a 45-degrees range, and a wide variety of dl~erent illuminations 1