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A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation

Ting On Chan, Hang Xiao, Lixin Liu, Yeran Sun, Tingting Chen, Wei Lang, Ming Ho Li

ISPRS International Journal of Geo-Information, Volume: 10, Issue: 11, Start page: 737

Swansea University Author: Yeran Sun

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DOI (Published version): 10.3390/ijgi10110737

Abstract

The 3D laser scanning technique is important for cultural heritage documentation. The laser itself normally does not carry any color information, so it usually requires an embedded camera system to colorize the point cloud. However, when the embedded camera system fails to perform properly under som...

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Published in: ISPRS International Journal of Geo-Information
ISSN: 2220-9964
Published: MDPI AG 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58744
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Abstract: The 3D laser scanning technique is important for cultural heritage documentation. The laser itself normally does not carry any color information, so it usually requires an embedded camera system to colorize the point cloud. However, when the embedded camera system fails to perform properly under some external interferences, a post-scan colorization method is always desired to improve the point cloud visuality. This paper presents a simple but efficient point cloud colorization method based on a point-to-pixel orthogonal projection under an assumption that the orthogonal and perspective projections can produce similar effects for a planar feature as long as the target-to-camera distance is relatively short (within several meters). This assumption was verified by a simulation experiment, and the results show that only approximately 5% of colorization error was found at a target-to-camera distance of 3 m. The method was further verified with two real datasets collected for the cultural heritage documentation. The results showed that the visuality of the point clouds for two giant historical buildings had been greatly improved after applying the proposed method.
Keywords: laser scanners, point cloud, colorization
College: Faculty of Science and Engineering
Funders: Natural Science Foundation of Guangdong Province Grant: 2018A0303130087
Issue: 11
Start Page: 737