Improvements of the Inverse Compositional Algorithm for Parametric Motion Estimation
Thibaud Briand, Gabriele Facciolo, Javier Sánchez
⚠ This is a preprint. It may change before it is accepted for publication.


In this work, we propose several improvements of the inverse compositional algorithm for parametric registration. We propose an improved handling of boundary pixels, a different color handling and gradient estimation, and the possibility to skip scales in the multiscale coarse-to-fine scheme. In an experimental part, we analyze the influence of the modifications. The estimation accuracy is at least improved by a factor 1.3 while the computation time is at least reduced by a factor 2.2 for color images.