Robust probability model based on variational Bayes for point set registration

Hualong Cao, Haifeng Wang, Ni Zhang, Yang Yang, Ziyun Zhou

Abstract: Highlights•The point set registration can adapt to a variety of complex situations.•Asymmetric Generalized Gaussian Mixture Model for Correspondence Evaluation.•The theory of local variation simplifies the update of complex parameters.•The global local structure makes the registration more robust.•Parameter optimization based on variational Bayesian framework.