Part of Advances in Neural Information Processing Systems 15 (NIPS 2002)
Marshall Tappen, William Freeman, Edward Adelson
We present an algorithm that uses multiple cues to recover shading and reflectance intrinsic images from a single image. Using both color in- formation and a classifier trained to recognize gray-scale patterns, each image derivative is classified as being caused by shading or a change in the surface’s reflectance. Generalized Belief Propagation is then used to propagate information from areas where the correct classification is clear to areas where it is ambiguous. We also show results on real images.