Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance Carsten Rother Max Planck Institut for Informatics Microsoft Research Cambridge

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.