Laser 3D realistic reconstruction and lightweight access method based on LiDAR point cloud

Xin Zheng; Gang Xu; Zhihai Shu; Yamin Ji; Xuan Chen; Changfu Xu

doi:10.1117/12.3031316

19 July 2024 Laser 3D realistic reconstruction and lightweight access method based on LiDAR point cloud

Xin Zheng, Gang Xu, Zhihai Shu, Yamin Ji, Xuan Chen, Changfu Xu

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 1318113 (2024) https://doi.org/10.1117/12.3031316
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

In complex outdoor environments, processing a large amount of point cloud data and restoring the precise structure of real scenes is a key difficulty in real scene reconstruction. To this end, a laser 3D real scene reconstruction and lightweight access method based on LiDAR point cloud is proposed. Using region growing algorithm to segment laser foot points of buildings in 3D reality and obtain LiDAR point cloud data of 3D reality. Using the Euler Lagrange equation to establish a 3D data field for laser 3D real scene image reconstruction, and completing the 3D reconstruction of laser 3D real scene images. Using SSD lightweight algorithm to perform regression classification on the extracted target features, in order to locate targets of different scales and achieve lightweight access to 3D real-world image targets. The experimental results show that the research method can accurately reconstruct three-dimensional real-life buildings with lower reconstruction errors.

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

Citation Download Citation

Xin Zheng, Gang Xu, Zhihai Shu, Yamin Ji, Xuan Chen, and Changfu Xu "Laser 3D realistic reconstruction and lightweight access method based on LiDAR point cloud", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 1318113 (19 July 2024); https://doi.org/10.1117/12.3031316

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KEYWORDS

3D image processing

3D image reconstruction

3D modeling

Point clouds

LIDAR

3D acquisition

Reconstruction algorithms

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