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

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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Autores principales:	Ting On Chan, Hang Xiao, Lixin Liu, Yeran Sun, Tingting Chen, Wei Lang, Ming Ho Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	laser scanners point cloud colorization Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/27ac34e6a96146bbb8127b30d4c53f98
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id	oai:doaj.org-article:27ac34e6a96146bbb8127b30d4c53f98
record_format	dspace
spelling	oai:doaj.org-article:27ac34e6a96146bbb8127b30d4c53f982021-11-25T17:52:51ZA Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation10.3390/ijgi101107372220-9964https://doaj.org/article/27ac34e6a96146bbb8127b30d4c53f982021-10-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/737https://doaj.org/toc/2220-9964The 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.Ting On ChanHang XiaoLixin LiuYeran SunTingting ChenWei LangMing Ho LiMDPI AGarticlelaser scannerspoint cloudcolorizationGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 737, p 737 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	laser scanners point cloud colorization Geography (General) G1-922
spellingShingle	laser scanners point cloud colorization Geography (General) G1-922 Ting On Chan Hang Xiao Lixin Liu Yeran Sun Tingting Chen Wei Lang Ming Ho Li A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
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.
format	article
author	Ting On Chan Hang Xiao Lixin Liu Yeran Sun Tingting Chen Wei Lang Ming Ho Li
author_facet	Ting On Chan Hang Xiao Lixin Liu Yeran Sun Tingting Chen Wei Lang Ming Ho Li
author_sort	Ting On Chan
title	A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
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	post-scan point cloud colorization method for cultural heritage documentation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/27ac34e6a96146bbb8127b30d4c53f98
work_keys_str_mv	AT tingonchan apostscanpointcloudcolorizationmethodforculturalheritagedocumentation AT hangxiao apostscanpointcloudcolorizationmethodforculturalheritagedocumentation AT lixinliu apostscanpointcloudcolorizationmethodforculturalheritagedocumentation AT yeransun apostscanpointcloudcolorizationmethodforculturalheritagedocumentation AT tingtingchen apostscanpointcloudcolorizationmethodforculturalheritagedocumentation AT weilang apostscanpointcloudcolorizationmethodforculturalheritagedocumentation AT mingholi apostscanpointcloudcolorizationmethodforculturalheritagedocumentation AT tingonchan postscanpointcloudcolorizationmethodforculturalheritagedocumentation AT hangxiao postscanpointcloudcolorizationmethodforculturalheritagedocumentation AT lixinliu postscanpointcloudcolorizationmethodforculturalheritagedocumentation AT yeransun postscanpointcloudcolorizationmethodforculturalheritagedocumentation AT tingtingchen postscanpointcloudcolorizationmethodforculturalheritagedocumentation AT weilang postscanpointcloudcolorizationmethodforculturalheritagedocumentation AT mingholi postscanpointcloudcolorizationmethodforculturalheritagedocumentation
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A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation

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