Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation

A simple motion estimation algorithm, light-weighted both in memory and in time, is presented in this paper. This simplicity is achieved by decoupling the matching and the regularization stages in the estimation process. Experiments show that the obtained results are comparable with state-of-the-art algorithms that are much more computationally demanding.