A robust global and local mixture distance based non-rigid point set registration

作者：

Highlights：

• We develop a multi-feature based non-rigid point set registration algorithm.

• We define two distance based features.

• A multi-feature based cost matrix is designed for correspondence estimation.

• We solve issues in the current iterative non-rigid point set registration methods.

• The performance of our method outperforms state-of-the-art methods in this area.

摘要

Highlights•We develop a multi-feature based non-rigid point set registration algorithm.•We define two distance based features.•A multi-feature based cost matrix is designed for correspondence estimation.•We solve issues in the current iterative non-rigid point set registration methods.•The performance of our method outperforms state-of-the-art methods in this area.

论文关键词：Non-rigid point set registration,Global and local mixture distance,Correspondence estimation,Transformation updating,Multi-feature based framework

论文评审过程：Received 29 May 2013, Revised 14 April 2014, Accepted 19 June 2014, Available online 28 June 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.06.017