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The Circle Pure Rolling Method for Point Cloud Boundary Extraction.

Quanou Yang1, Zhihui Li1, Zhihui Liu2

  • 1China Aerodynamics Research and Development Center, Mianyang 621000, China.

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|January 11, 2025
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A novel circle rolling method (CRM) extracts boundaries from 2D and 3D point clouds. This boundary extraction technique is faster and handles complex shapes better than existing approaches.

Keywords:
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Area of Science:

  • Computer Vision
  • Computational Geometry
  • Point Cloud Processing

Background:

  • Boundary extraction is crucial for analyzing point cloud data.
  • Existing methods face challenges with complex structures and overlapping points.

Purpose of the Study:

  • To introduce a robust and efficient point cloud boundary extraction method.
  • To address limitations of current techniques in handling interference and complex geometries.

Main Methods:

  • Developed a circle rolling method (CRM) for 2D point cloud boundary extraction.
  • Extended CRM to 3D by using a moving adsorption rolling method (MARM) with a plane.
  • Addressed interference from overlapping points and porous structures.

Main Results:

  • The CRM demonstrated faster boundary extraction in 2D point clouds.
  • The MARM effectively extracted boundaries in 3D, excelling in surface concavities.
  • The method proved robust against sparse points and interference issues.

Conclusions:

  • The proposed circle rolling method offers an efficient and accurate solution for point cloud boundary extraction.
  • This technique shows significant advantages for both 2D and 3D data, particularly in complex scenarios.