EasyFlow: increasing the convergence basin of variational image matching with a feature-based cost

Dense motion field estimation is a key computer vision problem. Many solutions have been proposed to compute small or large displacements, narrow or wide baseline stereo disparity, or non-rigid surface registration, but a unified methodology is still lacking. The authors introduce a general framework that robustly combines direct and feature-based matching. The feature-based cost is built around a...