Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set registration

作者：

Highlights：

• A novel CH-GMM method is proposed for non-rigid registration of point sets.

• The CH-GMM can effectively present the topological information of point set.

• The CH-GMM matching of the point sets is very fast.

• The registration is very robust for points with large differences.

摘要

•A novel CH-GMM method is proposed for non-rigid registration of point sets.•The CH-GMM can effectively present the topological information of point set.•The CH-GMM matching of the point sets is very fast.•The registration is very robust for points with large differences.

论文关键词：Convex hull,Gaussian mixture model,Point sets,Non-rigid registration

论文评审过程：Received 30 July 2015, Revised 24 February 2016, Accepted 27 February 2016, Available online 15 March 2016, Version of Record 23 August 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.02.023