Point cloud denoising algorithm on account of domain point space

Jinkui Huang; Xiangyao Ma; Shiquan Yuan; Jingyuan Xu; Jingyuan Wang; Jianhua Li

doi:10.1117/12.3049993

11 December 2024 Point cloud denoising algorithm on account of domain point space

Jinkui Huang, Xiangyao Ma, Shiquan Yuan, Jingyuan Xu, Jingyuan Wang, Jianhua Li

Proceedings Volume 13441, International Conference on Cloud Computing and Communication Engineering (CCCE 2024); 134410D (2024) https://doi.org/10.1117/12.3049993
Event: International Conference on Cloud Computing and Communication Engineering (CCCE 2024), 2024, Nanjing, China

Abstract

3D laser scanning improves the convenience of point cloud data acquisition. However, owing to the impact on multiple environmental factors during the scanning process, The targeted point cloud data contains numerous noise points, which will directly effect the subsequent segmentation and three-dimensional reconstruction of the point cloud data, and thus need to be denoised. Usual denoising ways cover the average filtering method, straight pass filtering method, and so on. In this paper, by studying the Spatial position between the point cloud and its domain points in space, A denoising algorithm for point clouds is proposed based on the spatial distribution of domain points, which can effectively remove the noise while retaining the point cloud body well.

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

Citation Download Citation

Jinkui Huang, Xiangyao Ma, Shiquan Yuan, Jingyuan Xu, Jingyuan Wang, and Jianhua Li "Point cloud denoising algorithm on account of domain point space", Proc. SPIE 13441, International Conference on Cloud Computing and Communication Engineering (CCCE 2024), 134410D (11 December 2024); https://doi.org/10.1117/12.3049993

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