Application analysis of three-dimensional laser scanning technology in the protection of dong drum tower in Sanjiang county

Bin Huang

doi:10.1117/12.3014534

9 January 2024 Application analysis of three-dimensional laser scanning technology in the protection of dong drum tower in Sanjiang county

Bin Huang

Author Affiliations +

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129691S (2024) https://doi.org/10.1117/12.3014534
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

The three-dimensional laser scanning technology is a non-contact measurement of objects by using a three-dimensional scanner. It is a new surveying and mapping technology, also known as real-life replication technology. This technology can completely reconstruct the surface of the scanned object through the 360-degree rotation of the laser emitter. The accuracy of point cloud data is very high. Each three-dimensional data in the laser point cloud is the real three-dimensional data X, Y, and Z coordinates of the building target, which makes the post-processing data true and reliable, and its accuracy reaches 3mm ~ 6mm. The working principle of this technology is through reverse three-dimensional data acquisition and model reconstruction, on-site photography, texture mapping for the later period, can truly achieve 1 : 1 physical restoration, and then quickly reconstruct the three-dimensional model of the building, so as to obtain the building point, line, surface, body and other mapping data. Three-dimensional laser scanning technology has played a huge advantage in the reconstruction and protection of wooden structure drum tower.

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

Citation Download Citation

Bin Huang "Application analysis of three-dimensional laser scanning technology in the protection of dong drum tower in Sanjiang county", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129691S (9 January 2024); https://doi.org/10.1117/12.3014534

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