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Technology of Graphic & Image
|
2515-2520

Research on registration of terrain laser scanning point cloud and image matching point cloud based on building footprint

Wei Shuangfeng1,2,3,4
Tang Nian1
Huang Shuai1
Liu Guangzu1
1. School of Geomatics & Urban Spatial Informatics, Beijing University of Civil Engineering & Architecture, Beijing 102616, China
2. Engineering Research Center of Representative Building & Architectural Heritage Database for Ministry of Education, Beijing 102616, China
3. Key Laboratory for Urban Spatial Informatics of Ministry of Natural Resources, Beijing 102616, China
4. Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 102616, China

Abstract

In order to fuse heterogeneous data with high precision, then express the buildings roof and facade information fully, this paper proposed a registration method of terrain laser scanning point cloud and image matching point cloud based on buil-ding footprint features. It extracted image matching point cloud building roof edge by boundary estimation, got terrain laser scanning point cloud building eaves boundary by α-shape algorithm, completed two footprint point cloud's coarse registration by principal component analysis algorithm, centroid constraint and Rodrigues's formula, finished fine registration according to the ICP algorithm. Experimental results show that the method can combine the advantages of cross-modal data, and improve the calculation efficiency and registration accuracy of image and point cloud registration effectively.

Foundation Support

国家自然科学基金资助项目(41971350)
北京建筑大学研究生创新项目(PG2020076)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.08.0393
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Technology of Graphic & Image
Pages: 2515-2520
Serial Number: 1001-3695(2021)08-050-2515-06

Publish History

[2021-08-05] Printed Article

Cite This Article

危双丰, 汤念, 黄帅, 等. 基于建筑物轮廓的地面激光点云与影像匹配点云配准研究 [J]. 计算机应用研究, 2021, 38 (8): 2515-2520. (Wei Shuangfeng, Tang Nian, Huang Shuai, et al. Research on registration of terrain laser scanning point cloud and image matching point cloud based on building footprint [J]. Application Research of Computers, 2021, 38 (8): 2515-2520. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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