The Circle Pure Rolling Method for Point Cloud Boundary Extraction

We introduce a circle rolling method (CRM) for boundary extraction from 2D point clouds. The core idea is to create a circle that performs pure rolling on the perimeter of the point cloud to obtain the boundary. For a 3D point cloud, a plane adsorbs points on both sides to create a 2D point cloud, and the CRM is used to extract the boundary points and map them back into space to obtain 3D boundary points. Continuously moving this plane can obtain a complete boundary, which is called the moving adsorption rolling method (MARM). In this paper, we solve the interference problems in our method caused by unidirectional overlapping points and porous structures and successfully validate the solutions in practical examples. Our point cloud boundary extraction method is faster in 2D and better for surface concavities extracted in 3D compared to existing methods, and it is unaffected by sparse points within the point cloud.

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Publication Details

Journal
Sensors
Published
2024-12-25
DOI
https://doi.org/10.3390/s25010045
Citations
2
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.75

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article

The Circle Pure Rolling Method for Point Cloud Boundary Extraction

Xinglong Gao, Zhihui Li, Zhihui Liu, Xinyu Jiang et al.
2 citations
Sensors
3D Shape Modeling and Analysis
0.75
article

The Circle Pure Rolling Method for Point Cloud Boundary Extraction

Xinglong Gao, Zhihui Li, Zhihui Liu, Xinyu Jiang, Quanou Yang
article en
2 citations

Abstract

We introduce a circle rolling method (CRM) for boundary extraction from 2D point clouds. The core idea is to create a circle that performs pure rolling on the perimeter of the point cloud to obtain the boundary. For a 3D point cloud, a plane adsorbs points on both sides to create a 2D point cloud, and the CRM is used to extract the boundary points and map them back into space to obtain 3D boundary points. Continuously moving this plane can obtain a complete boundary, which is called the moving adsorption rolling method (MARM). In this paper, we solve the interference problems in our method caused by unidirectional overlapping points and porous structures and successfully validate the solutions in practical examples. Our point cloud boundary extraction method is faster in 2D and better for surface concavities extracted in 3D compared to existing methods, and it is unaffected by sparse points within the point cloud.

SensorsVol. 25(1)
China Aerodynamics Research and Development Center (CN), Beihang University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 30%
3D Shape Modeling and Analysis
0.75
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