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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
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URI: https://cronfa.swan.ac.uk/Record/cronfa58744
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first_indexed 2021-11-22T13:33:20Z
last_indexed 2021-12-07T04:15:39Z
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spelling 2021-12-06T16:10:07.7803947 v2 58744 2021-11-22 A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation 10382520ce790248e1be61a6a9003717 Yeran Sun Yeran Sun true false 2021-11-22 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. Journal Article ISPRS International Journal of Geo-Information 10 11 737 MDPI AG 2220-9964 laser scanners, point cloud, colorization 29 10 2021 2021-10-29 10.3390/ijgi10110737 COLLEGE NANME COLLEGE CODE Swansea University Natural Science Foundation of Guangdong Province Grant: 2018A0303130087 2021-12-06T16:10:07.7803947 2021-11-22T13:30:46.5681570 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Ting On Chan 1 Hang Xiao 2 Lixin Liu 3 Yeran Sun 4 Tingting Chen 5 Wei Lang 6 Ming Ho Li 7 58744__21627__5be8448b58c44b24b880ed502243c296.pdf ijgi-10-00737.pdf 2021-11-22T13:30:46.5680997 Output 9027089 application/pdf Version of Record true 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 true eng https://creativecommons.org/licenses/by/4.0/
title A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
spellingShingle A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
Yeran Sun
title_short A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
title_full A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
title_fullStr A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
title_full_unstemmed A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
title_sort A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
author_id_str_mv 10382520ce790248e1be61a6a9003717
author_id_fullname_str_mv 10382520ce790248e1be61a6a9003717_***_Yeran Sun
author Yeran Sun
author2 Ting On Chan
Hang Xiao
Lixin Liu
Yeran Sun
Tingting Chen
Wei Lang
Ming Ho Li
format Journal article
container_title ISPRS International Journal of Geo-Information
container_volume 10
container_issue 11
container_start_page 737
publishDate 2021
institution Swansea University
issn 2220-9964
doi_str_mv 10.3390/ijgi10110737
publisher MDPI AG
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
description 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.
published_date 2021-10-29T04:15:31Z
_version_ 1763754043148075008
score 11.036553

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