Recovering intrinsic images from a single image

M.F. Tappen, W.T. Freeman, E.H. Adelson
2005 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We present an algorithm that uses multiple cues to recover shading and reflectance intrinsic images from a single image. Using both color information 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.
doi:10.1109/tpami.2005.185 pmid:16173188 fatcat:bp35y5gm7rg5plcf2gnqbhjdpa