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, a...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/1/45 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841548966319095808 |
|---|---|
| author | Quanou Yang Zhihui Li Zhihui Liu Xinyu Jiang Xinglong Gao |
| author_facet | Quanou Yang Zhihui Li Zhihui Liu Xinyu Jiang Xinglong Gao |
| author_sort | Quanou Yang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0c8de89701b0460cb16e4b62aa679c6f |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-0c8de89701b0460cb16e4b62aa679c6f2025-01-10T13:20:40ZengMDPI AGSensors1424-82202024-12-012514510.3390/s25010045The Circle Pure Rolling Method for Point Cloud Boundary ExtractionQuanou Yang0Zhihui Li1Zhihui Liu2Xinyu Jiang3Xinglong Gao4China Aerodynamics Research and Development Center, Mianyang 621000, ChinaChina Aerodynamics Research and Development Center, Mianyang 621000, ChinaSchool of Aeronautic Science and Engineering, Beihang University, Beijing 100191, ChinaChina Aerodynamics Research and Development Center, Mianyang 621000, ChinaFacility Design and Instrumentation Institute, China Aerodynamics Research and Development Center, Mianyang 621000, ChinaWe 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.https://www.mdpi.com/1424-8220/25/1/45point cloudboundary extractionpure rollingprojection |
| spellingShingle | Quanou Yang Zhihui Li Zhihui Liu Xinyu Jiang Xinglong Gao The Circle Pure Rolling Method for Point Cloud Boundary Extraction Sensors point cloud boundary extraction pure rolling projection |
| title | The Circle Pure Rolling Method for Point Cloud Boundary Extraction |
| title_full | The Circle Pure Rolling Method for Point Cloud Boundary Extraction |
| title_fullStr | The Circle Pure Rolling Method for Point Cloud Boundary Extraction |
| title_full_unstemmed | The Circle Pure Rolling Method for Point Cloud Boundary Extraction |
| title_short | The Circle Pure Rolling Method for Point Cloud Boundary Extraction |
| title_sort | circle pure rolling method for point cloud boundary extraction |
| topic | point cloud boundary extraction pure rolling projection |
| url | https://www.mdpi.com/1424-8220/25/1/45 |
| work_keys_str_mv | AT quanouyang thecirclepurerollingmethodforpointcloudboundaryextraction AT zhihuili thecirclepurerollingmethodforpointcloudboundaryextraction AT zhihuiliu thecirclepurerollingmethodforpointcloudboundaryextraction AT xinyujiang thecirclepurerollingmethodforpointcloudboundaryextraction AT xinglonggao thecirclepurerollingmethodforpointcloudboundaryextraction AT quanouyang circlepurerollingmethodforpointcloudboundaryextraction AT zhihuili circlepurerollingmethodforpointcloudboundaryextraction AT zhihuiliu circlepurerollingmethodforpointcloudboundaryextraction AT xinyujiang circlepurerollingmethodforpointcloudboundaryextraction AT xinglonggao circlepurerollingmethodforpointcloudboundaryextraction |