Digital 3D Reconstruction of Ancient Chinese Great Wild Goose Pagoda by TLS Point Clouds Hierarchical Registration

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Journal on Computing and Cultural Heritage Pub Date : 2024-01-09 DOI:10.1145/3639932
Xiaohu Lin, Bei Xue, Xiqi Wang
{"title":"Digital 3D Reconstruction of Ancient Chinese Great Wild Goose Pagoda by TLS Point Clouds Hierarchical Registration","authors":"Xiaohu Lin, Bei Xue, Xiqi Wang","doi":"10.1145/3639932","DOIUrl":null,"url":null,"abstract":"<p>Digital reconstruction of ancient buildings is very challenging due to its architectural complexity and structural delicacy. Therefore, how to apply new Earth Observation (EO) technology to digitally reconstruct the complete and real model of ancient buildings without damage has become an urgent issue. This paper proposed a multi-scan point cloud hierarchical registration method for 3D reconstruction of ancient Chinese Great Wild Goose Pagoda based on Terrestrial Laser Scanner (TLS) data. First, a multi-scan point cloud hierarchical registration method is elaborate designed for 3D reconstruction. Then, the outline feature of ancient Chinese Great Wild Goose Pagoda is automatically extracted by point cloud slicing. Finally, fine modeling is carried out according to the outline feature extracted from the reconstructed point cloud, after that block combination and texture mapping are conducted for 3D digitalization and documentation. The experiments indicate that the Root Mean Square Error (RMSE) of multi-scan hierarchical registration of the translation and rotation are less than 3 <i>cm</i> and 0.862° respectively, and the complete and real model of the Great Wild Goose Pagoda is obtained by fine modeling and texture mapping, which provides an important reference for 3D digital protection of ancient buildings.</p>","PeriodicalId":54310,"journal":{"name":"ACM Journal on Computing and Cultural Heritage","volume":"2 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Journal on Computing and Cultural Heritage","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3639932","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Digital reconstruction of ancient buildings is very challenging due to its architectural complexity and structural delicacy. Therefore, how to apply new Earth Observation (EO) technology to digitally reconstruct the complete and real model of ancient buildings without damage has become an urgent issue. This paper proposed a multi-scan point cloud hierarchical registration method for 3D reconstruction of ancient Chinese Great Wild Goose Pagoda based on Terrestrial Laser Scanner (TLS) data. First, a multi-scan point cloud hierarchical registration method is elaborate designed for 3D reconstruction. Then, the outline feature of ancient Chinese Great Wild Goose Pagoda is automatically extracted by point cloud slicing. Finally, fine modeling is carried out according to the outline feature extracted from the reconstructed point cloud, after that block combination and texture mapping are conducted for 3D digitalization and documentation. The experiments indicate that the Root Mean Square Error (RMSE) of multi-scan hierarchical registration of the translation and rotation are less than 3 cm and 0.862° respectively, and the complete and real model of the Great Wild Goose Pagoda is obtained by fine modeling and texture mapping, which provides an important reference for 3D digital protection of ancient buildings.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过 TLS 点云分层注册实现中国古代大雁塔的数字 3D 重建
由于古建筑的建筑复杂性和结构精细性,古建筑的数字化重建是一项非常具有挑战性的工作。因此,如何应用新的地球观测(EO)技术,对古建筑进行完整、真实、无损的数字化重建,已成为亟待解决的问题。本文提出了一种基于地面激光扫描仪(TLS)数据的多扫描点云分层配准方法,用于中国古代大雁塔的三维重建。首先,针对三维重建精心设计了一种多扫描点云分层配准方法。然后,通过点云切片自动提取中国古代大雁塔的轮廓特征。最后,根据从重建点云中提取的轮廓特征进行精细建模,然后进行块组合和纹理映射,实现三维数字化和文档化。实验表明,多扫描分层配准的平移和旋转的均方根误差(RMSE)分别小于 3 厘米和 0.862°,通过精细建模和纹理映射得到了完整、真实的大雁塔模型,为古建筑的三维数字化保护提供了重要参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACM Journal on Computing and Cultural Heritage
ACM Journal on Computing and Cultural Heritage Arts and Humanities-Conservation
CiteScore
4.60
自引率
8.30%
发文量
90
期刊介绍: ACM Journal on Computing and Cultural Heritage (JOCCH) publishes papers of significant and lasting value in all areas relating to the use of information and communication technologies (ICT) in support of Cultural Heritage. The journal encourages the submission of manuscripts that demonstrate innovative use of technology for the discovery, analysis, interpretation and presentation of cultural material, as well as manuscripts that illustrate applications in the Cultural Heritage sector that challenge the computational technologies and suggest new research opportunities in computer science.
期刊最新文献
Heritage Iconographic Content Structuring: from Automatic Linking to Visual Validation Digitising the Deep Past: Machine Learning for Rock Art Motif Classification in an Educational Citizen Science Application Interpretable Clusters for Representing Citizens’ Sense of Belonging through Interaction with Cultural Heritage Classification of Impressionist and Pointillist paintings based on their brushstrokes characteristics ZoAM GameBot: a Journey to the Lost Computational World in the Amazonia
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1