A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration
This paper presents a comprehensive literature review on point set registration. The state-of-the-art modeling methods and algorithms for point set registration are discussed and summarized. Special attention is paid to methods for pairwise registration and groupwise registration. Some of the most p...
| 出版年: | Sensors |
|---|---|
| 主要な著者: | , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2019-03-01
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| 主題: | |
| オンライン･アクセス: | http://www.mdpi.com/1424-8220/19/5/1191 |
| _version_ | 1851940780810174464 |
|---|---|
| author | Hao Zhu Bin Guo Ke Zou Yongfu Li Ka-Veng Yuen Lyudmila Mihaylova Henry Leung |
| author_facet | Hao Zhu Bin Guo Ke Zou Yongfu Li Ka-Veng Yuen Lyudmila Mihaylova Henry Leung |
| author_sort | Hao Zhu |
| collection | DOAJ |
| container_title | Sensors |
| description | This paper presents a comprehensive literature review on point set registration. The state-of-the-art modeling methods and algorithms for point set registration are discussed and summarized. Special attention is paid to methods for pairwise registration and groupwise registration. Some of the most prominent representative methods are selected to conduct qualitative and quantitative experiments. From the experiments we have conducted on 2D and 3D data, CPD-GL pairwise registration algorithm and JRMPC groupwise registration algorithm seem to outperform their rivals both in accuracy and computational complexity. Furthermore, future research directions and avenues in the area are identified. |
| format | Article |
| id | doaj-art-e85beb6313c44506b73bb2fe7e162fa8 |
| institution | Directory of Open Access Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-e85beb6313c44506b73bb2fe7e162fa82025-08-19T21:50:32ZengMDPI AGSensors1424-82202019-03-01195119110.3390/s19051191s19051191A Review of Point Set Registration: From Pairwise Registration to Groupwise RegistrationHao Zhu0Bin Guo1Ke Zou2Yongfu Li3Ka-Veng Yuen4Lyudmila Mihaylova5Henry Leung6Key Laboratory of Industrial IoT and Networked Control, Ministry of Education, and the Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaKey Laboratory of Industrial IoT and Networked Control, Ministry of Education, and the Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaKey Laboratory of Industrial IoT and Networked Control, Ministry of Education, and the Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaKey Laboratory of Industrial IoT and Networked Control, Ministry of Education, and the Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaFaculty of Science and Technology, University of Macau, Macau 999078, ChinaDepartment of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UKDepartment of Electrical and Computer Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, CanadaThis paper presents a comprehensive literature review on point set registration. The state-of-the-art modeling methods and algorithms for point set registration are discussed and summarized. Special attention is paid to methods for pairwise registration and groupwise registration. Some of the most prominent representative methods are selected to conduct qualitative and quantitative experiments. From the experiments we have conducted on 2D and 3D data, CPD-GL pairwise registration algorithm and JRMPC groupwise registration algorithm seem to outperform their rivals both in accuracy and computational complexity. Furthermore, future research directions and avenues in the area are identified.http://www.mdpi.com/1424-8220/19/5/1191point set registrationpairwise registrationgroupwise registration |
| spellingShingle | Hao Zhu Bin Guo Ke Zou Yongfu Li Ka-Veng Yuen Lyudmila Mihaylova Henry Leung A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration point set registration pairwise registration groupwise registration |
| title | A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration |
| title_full | A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration |
| title_fullStr | A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration |
| title_full_unstemmed | A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration |
| title_short | A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration |
| title_sort | review of point set registration from pairwise registration to groupwise registration |
| topic | point set registration pairwise registration groupwise registration |
| url | http://www.mdpi.com/1424-8220/19/5/1191 |
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