SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS

In the era of digital twins, high-definition 3D point clouds of cultural relics, such as the bronze drums of ancient Southeast Asia and China, are increasingly available as digital heritage. This study applies an automatic hierarchical clustering method to compare and cluster 14 unstructured 3D mode...

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Main Authors: F. Xue, W. Zhang, G. Xu, Q. Zhou, Y. Wu
Format: Article
Language:English
Published: Copernicus Publications 2023-06-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-M-1-2023/293/2023/isprs-annals-X-M-1-2023-293-2023.pdf
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author F. Xue
W. Zhang
G. Xu
Q. Zhou
Y. Wu
author_facet F. Xue
W. Zhang
G. Xu
Q. Zhou
Y. Wu
author_sort F. Xue
collection DOAJ
description In the era of digital twins, high-definition 3D point clouds of cultural relics, such as the bronze drums of ancient Southeast Asia and China, are increasingly available as digital heritage. This study applies an automatic hierarchical clustering method to compare and cluster 14 unstructured 3D models of frogs on drums based on the dissimilarity metric of the minimum error from 2,000 iterations of global registration. Furthermore, this study compares two forms of 3D presentation: surface points and 3D shape skeletons. The experimental results on 14 high-definition frogs showed that four groups – three-legged with baby, four-legged with baby, three-legged without baby, and four-legged without baby – were consistently (TPR = 0.857) detected, regardless of the 3D presentation using point clouds or shape skeletons. Both basic surface points and advanced shape skeleton effectively clustered 3D heritage details for heritage digital twins and advanced heritage documentation. The findings also imply that geospatial analytics using either surface 3D point clouds or skeleton can shed light on unsupervised learning and quantitative understanding of unstructured point clouds of numerous cultural heritages.
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spelling doaj.art-cfee05591b1c42258be7a170eb6e94942023-06-23T14:14:15ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502023-06-01X-M-1-202329329910.5194/isprs-annals-X-M-1-2023-293-2023SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINSF. Xue0W. Zhang1G. Xu2Q. Zhou3Y. Wu4The University of Hong Kong, Hong Kong S.A.R., ChinaGuangzhou Okay Information Technology Ltd., Guangzhou, ChinaAnthropology Museum of Guangxi, Nanning, ChinaThe University of Hong Kong, Hong Kong S.A.R., ChinaThe University of Hong Kong, Hong Kong S.A.R., ChinaIn the era of digital twins, high-definition 3D point clouds of cultural relics, such as the bronze drums of ancient Southeast Asia and China, are increasingly available as digital heritage. This study applies an automatic hierarchical clustering method to compare and cluster 14 unstructured 3D models of frogs on drums based on the dissimilarity metric of the minimum error from 2,000 iterations of global registration. Furthermore, this study compares two forms of 3D presentation: surface points and 3D shape skeletons. The experimental results on 14 high-definition frogs showed that four groups – three-legged with baby, four-legged with baby, three-legged without baby, and four-legged without baby – were consistently (TPR = 0.857) detected, regardless of the 3D presentation using point clouds or shape skeletons. Both basic surface points and advanced shape skeleton effectively clustered 3D heritage details for heritage digital twins and advanced heritage documentation. The findings also imply that geospatial analytics using either surface 3D point clouds or skeleton can shed light on unsupervised learning and quantitative understanding of unstructured point clouds of numerous cultural heritages.https://isprs-annals.copernicus.org/articles/X-M-1-2023/293/2023/isprs-annals-X-M-1-2023-293-2023.pdf
spellingShingle F. Xue
W. Zhang
G. Xu
Q. Zhou
Y. Wu
SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS
title_full SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS
title_fullStr SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS
title_full_unstemmed SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS
title_short SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS
title_sort surface or skeleton automatic hierarchical clustering of 3d point clouds of bronze frog drums for heritage digital twins
url https://isprs-annals.copernicus.org/articles/X-M-1-2023/293/2023/isprs-annals-X-M-1-2023-293-2023.pdf
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