An approach to boundary detection for 3D point clouds based on DBSCAN clustering

作者：

Highlights：

• An improved DBSCAN method is proposed for 3D intersecting-plane segmentation which can detect the correct boundary points.

• An approach for automatic point selection is proposed for modeling a plane.

• An adaptive coplanar threshold is designed for differentiating planes.

摘要

•An improved DBSCAN method is proposed for 3D intersecting-plane segmentation which can detect the correct boundary points.•An approach for automatic point selection is proposed for modeling a plane.•An adaptive coplanar threshold is designed for differentiating planes.

论文关键词：3D point cloud,Plane segmentation,Boundary detection,DBSCAN

论文评审过程：Received 23 May 2021, Revised 14 October 2021, Accepted 10 November 2021, Available online 14 November 2021, Version of Record 28 February 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108431