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Abstract:
We address the challenging task of decoupling material properties from lighting properties given a single image. In the last two decades virtually all works have
concentrated on exploiting edge information to address this problem. We take a different route by introducing a new prior on reflectance, that models reflectance values as being drawn from a sparse set of basis colors. This results in a Random Field model with global, latent variables (basis colors) and pixel-accurate output reflectance values. We show that without edge information high-quality results can be achieved, that are on par with methods exploiting this source of information. Finally, we are able to improve on state-of-the-art results by integrating edge
information into our model. We believe that our new approach is an excellent starting point for future developments in this field.
