Global Refinement Algorithm for 3D Scene Reconstruction from a Sequence of Point Clouds

IF 0.4 4区 计算机科学 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Communications Technology and Electronics Pub Date : 2023-12-01 DOI:10.1134/s1064226923120124
{"title":"Global Refinement Algorithm for 3D Scene Reconstruction from a Sequence of Point Clouds","authors":"","doi":"10.1134/s1064226923120124","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract</strong>—Point cloud registration is a central problem in many computer vision problems. However, ensuring global consistency of the results of pairwise registration of point clouds is still a challenge when there are multiple clouds because different scans should be converted to a common coordinate system. This paper describes a global refinement algorithm that first estimates rotations and then estimates parallel translations. For global refinement of rotations, a closed-form algorithm based on matrices is used. For global refinement of parallel translations, a closed-form algorithm is also used. The proposed algorithm is compared with other global refinement algorithms.</p>","PeriodicalId":50229,"journal":{"name":"Journal of Communications Technology and Electronics","volume":"14 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Communications Technology and Electronics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1134/s1064226923120124","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract—Point cloud registration is a central problem in many computer vision problems. However, ensuring global consistency of the results of pairwise registration of point clouds is still a challenge when there are multiple clouds because different scans should be converted to a common coordinate system. This paper describes a global refinement algorithm that first estimates rotations and then estimates parallel translations. For global refinement of rotations, a closed-form algorithm based on matrices is used. For global refinement of parallel translations, a closed-form algorithm is also used. The proposed algorithm is compared with other global refinement algorithms.

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
根据点云序列重建三维场景的全局细化算法
摘要--点云注册是许多计算机视觉问题的核心问题。然而,当存在多个点云时,要确保点云配对注册结果的全局一致性仍是一个挑战,因为不同的扫描应转换到一个共同的坐标系。本文介绍了一种全局细化算法,该算法首先估算旋转,然后估算平行平移。对于旋转的全局细化,采用了基于矩阵的闭式算法。对于平行平移的全局细化,也采用了闭式算法。将所提出的算法与其他全局细化算法进行了比较。
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
CiteScore
1.00
自引率
20.00%
发文量
170
审稿时长
10.5 months
期刊介绍: Journal of Communications Technology and Electronics is a journal that publishes articles on a broad spectrum of theoretical, fundamental, and applied issues of radio engineering, communication, and electron physics. It publishes original articles from the leading scientific and research centers. The journal covers all essential branches of electromagnetics, wave propagation theory, signal processing, transmission lines, telecommunications, physics of semiconductors, and physical processes in electron devices, as well as applications in biology, medicine, microelectronics, nanoelectronics, electron and ion emission, etc.
期刊最新文献
Minimization of Forecast Variance Using an Example of ETS Models Superpixel-Segmentation Based on Energy Minimization and Convolution with the Geodesic Distance Kernel Registration of Point Clouds in 3D Space Using Soft Alignment Mathematical Modeling of Network Nodes and Topologies of Modern Data Networks Occlusion Handling in Depth Estimation of a Scene from a Given Light Field Using a Geodesic Distance and the Principle of Symmetry of the View
×
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