Streamline regularization for large discontinuous motion of sea ice

Non-rigid motion has to sometimes contend with the presence of discontinuous structures when it is estimated under a non-topology preserving deformation. In this paper, we propose an algorithm that estimates large scale non-rigid motion in the presence of these discontinuous structures. We have developed a streamline regularization framework that uses particle streamlines to compute a plausible flow at discontinuities, thereby enabling us to predict the motion more accurately. To quantitatively validate the accuracy of our results, we applied the Wilcoxon Signed Rank Test, which shows an improvement in estimation accuracy using our proposed scheme.