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A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
ISPRS International Journal of Geo-Information, Volume: 10, Issue: 11, Start page: 737
Swansea University Author: Yeran Sun
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2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
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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...
Published in: | ISPRS International Journal of Geo-Information |
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ISSN: | 2220-9964 |
Published: |
MDPI AG
2021
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Online Access: |
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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. |
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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 |