Improved fast 3D reconstruction algorithm based on laser scanning point cloud

Lei Tang; Yong Liu; Wenxing Liu; Xingsheng Feng

doi:10.1117/12.3004085

11 October 2023 Improved fast 3D reconstruction algorithm based on laser scanning point cloud

Lei Tang, Yong Liu, Wenxing Liu, Xingsheng Feng

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280018 (2023) https://doi.org/10.1117/12.3004085
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

The point cloud data obtained by a 3D laser scanner is known for its high density, redundancy, and significant noise, which can result in a slow 3D reconstruction process and an imprecise reconstruction surface. To address these issues, a method for rapidly creating a 3D point cloud model based on 3D laser scanning was proposed. This approach involves removing outlier point clouds using a statistical filtering algorithm, downsampling the data using an improved octree voxel filtering algorithm, smoothing the point cloud using the moving least squares method and resampling it. Finally, the improved greedy projection triangulation algorithm is used for surface reconstruction. The experimental results show that the method proposed in this paper can improve the efficiency of model reconstruction, and the reconstructed model has smooth surface, accurate structure and improved precision.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lei Tang, Yong Liu, Wenxing Liu, and Xingsheng Feng "Improved fast 3D reconstruction algorithm based on laser scanning point cloud", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280018 (11 October 2023); https://doi.org/10.1117/12.3004085

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