Hollow point cloud generation by procedural inlier removal

Tess Harris; J. R. Jamora

doi:10.1117/12.3012059

7 June 2024 Hollow point cloud generation by procedural inlier removal

Tess Harris, J. R. Jamora

Proceedings Volume 13041, Three-Dimensional Imaging, Visualization, and Display 2024; 1304106 (2024) https://doi.org/10.1117/12.3012059
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Traditionally, a three-dimensional point cloud is a convex hull. It only contains points that are representative of the object’s exterior surface. Some point cloud generation methods erroneously create interior points beyond the object’s surface, which must be removed to prepare a point cloud for surface reconstruction. Our method utilizes spherical coordinates to establish a relative interior-exterior relationship. We outline and demonstrate a technique to procedurally identify multiple origins relative to the object. Then, we use these origins to remove all interior points within an azimuth and elevation swath. We demonstrate our method on a dataset of atypical models containing interior points.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tess Harris and J. R. Jamora "Hollow point cloud generation by procedural inlier removal", Proc. SPIE 13041, Three-Dimensional Imaging, Visualization, and Display 2024, 1304106 (7 June 2024); https://doi.org/10.1117/12.3012059

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