Correspondences of point sets using Particle Filters

The paper shows how particle filters can be used to establish visually consistent partial correspondences between similar features in unrestricted 2D point sets representing shapes. Given an update rule, the PF system has the advantage that global constraints can be learned. We motivate and define the update rule for the given task and show its superior performance in comparison to a globally unrestricted approach.