Generate 3D Triangular Meshes from Spliced Point Clouds with Cloudcompare

Shang-Yuan Chen, Shu Chang, Chih-Wei Yang
{"title":"Generate 3D Triangular Meshes from Spliced Point Clouds with Cloudcompare","authors":"Shang-Yuan Chen, Shu Chang, Chih-Wei Yang","doi":"10.1109/ECICE52819.2021.9645689","DOIUrl":null,"url":null,"abstract":"The modeling technology of point cloud scanning provides a detailed digital format to preserve records of existing cultural relics. It also provides the possibility of diversified development for the reproduction and application of cultural relics. However, the records of existing buildings involve indoor cultural relics, indoor spaces, and outdoor masses and their roofs. For the different parts and scales of the building, the surveying and mapping of different viewpoint heights require the application of different instruments and scanning methods to obtain different point cloud entities. Thus, they need to be edited, spliced, and processed properly to get all the digital information of the building. The technology can be further applied to the preservation and activation of cultural assets. This research proposes the modeling technology to use a cross-platform and CloudCompare software and to integrate UAV scanning and ground-based LiDAR scanning point clouds with the octree structure and Poisson surface reconstruction calculation abilities. Then, a 3D triangular mesh surface model is generated with indoor space and outdoor volume.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE52819.2021.9645689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The modeling technology of point cloud scanning provides a detailed digital format to preserve records of existing cultural relics. It also provides the possibility of diversified development for the reproduction and application of cultural relics. However, the records of existing buildings involve indoor cultural relics, indoor spaces, and outdoor masses and their roofs. For the different parts and scales of the building, the surveying and mapping of different viewpoint heights require the application of different instruments and scanning methods to obtain different point cloud entities. Thus, they need to be edited, spliced, and processed properly to get all the digital information of the building. The technology can be further applied to the preservation and activation of cultural assets. This research proposes the modeling technology to use a cross-platform and CloudCompare software and to integrate UAV scanning and ground-based LiDAR scanning point clouds with the octree structure and Poisson surface reconstruction calculation abilities. Then, a 3D triangular mesh surface model is generated with indoor space and outdoor volume.
使用Cloudcompare从拼接点云生成3D三角形网格
点云扫描的建模技术为保存现存文物的记录提供了详细的数字格式。也为文物的复制利用提供了多元化发展的可能。然而,现存建筑的记录涉及室内文物、室内空间和室外群众及其屋顶。对于建筑物的不同部位和尺度,不同视点高度的测绘需要应用不同的仪器和扫描方法,获得不同的点云实体。因此,需要对它们进行适当的编辑、拼接和处理,以获得建筑物的所有数字信息。该技术可以进一步应用于文化资产的保护和活化。本研究提出了利用跨平台和CloudCompare软件,将无人机扫描和地面激光雷达扫描点云与八叉树结构和泊松面重建计算能力相结合的建模技术。然后,生成具有室内空间和室外体积的三维三角形网格曲面模型。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信