Leveraging Inlier Correspondences Proportion for Point Cloud Registration

1 code implementation • 28 Jan 2022 • Lifa Zhu, Haining Guan, Changwei Lin, Renmin Han

Motivated by this, we devise several techniques to promote feature-learning based point cloud registration performance by leveraging inlier correspondences proportion: a pyramid hierarchy decoder to characterize point features in multiple scales, a consistent voting strategy to maintain consistent correspondences and a geometry guided encoding module to take geometric characteristics into consideration.

Point Cloud Registration