[1J5-GS-2] Machine learning: Fundamental theory (2)

[1J5-GS-2-05] Non-rigid regisgtration with Gaussian Markov Random Field

〇Osamu Hirose¹ (1. Kanazawa University)

Keywords:Point set registration, Shape matching, Markov random field

Coherent point drift is a well-known algorithm for solving point set registration problems, i.e., finding point-to-point correspondences between point sets, each of which characterizes the shape of an object. In this study, we propose a novel formulation of coherent point drift, providing an insight into the algorithm. Using the formulation and variational Bayesian inference, we derive a registration algorithm, which is a generalization of coherent point drift.