Learning Coherent Vector Fields for Robust Point Matching under Manifold Regularization.
Neurocomputing, 2016, Vol 216, pp. 393-401
We propose a robust method for coherent vector field learning with outliers (mismatches) using manifold regularization, called manifold regularized coherent vector field (MRCVF). The method could remove outliers from inliers (correct matches) and learn coherent vector fields fitting for the inliers with graph Laplacian constraint.