In this paper, we propose a variational model for curve matching based on Kullback-Leibler (KL) divergence. This framework accomplishes the difficult task of finding correspondences for a group of curves simultaneously in a symmetric and transitive fashion. Moreover the distance in the energy functional has the metric property. We also introduce a location weighted model to handle noise, distortion and occlusion. Numerical results indicate the effective of this framework. The existence of this model is also provided.
['Pengwen Chen', 'Yunmei Chen', 'Murali Rao']
Kullback Leibler divergence based curve matching method