Technology of Graphic & Image
|
1585-1588

Feature point extraction of scattered point cloud based on multiple criterions

Wang Qinghua1
Huang Runan1
Yan Xiaogeng1
Cheng Tuo2
1. College of Electrical Engineering, Yanshan University, Qinhuangdao Hebei 066000, China
2. Electrical Intelligence Business Department, China National Heavy Machinery Research Institute Co. Ltd. , Xi'an 710023, China

Abstract

This paper proposed an algorithm of extracting feature points based on multiple criterions, which aimed to extract boundary feature points and sharp feature points efficiently. Firstly, the algorithm built the point cloud topological structure based on a modified k-d tree approach to search for the K-nearest neighborhood of the sample point. Then, according to each K-nearest neighborhood points, it calculated three feature parameters based on vector angle criteria, kernel density criteria and field power criteria. Finally, according to the three parameters, it obtained feature discriminant parameters and the global fixed threshold. It recognized a point as the feature point when its value of discriminant parameter was bigger than the threshold. The experimental results show that the proposed algorithm can extract boundary points and sharp feature points effectively.

Foundation Support

国家自然科学基金资助项目(61472341)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0832
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Technology of Graphic & Image
Pages: 1585-1588
Serial Number: 1001-3695(2019)05-064-1585-04

Publish History

[2019-05-05] Printed Article

Cite This Article

王庆华, 黄茹楠, 闫晓庚, 等. 基于多判据的散乱点云特征点提取算法 [J]. 计算机应用研究, 2019, 36 (5): 1585-1588. (Wang Qinghua, Huang Runan, Yan Xiaogeng, et al. Feature point extraction of scattered point cloud based on multiple criterions [J]. Application Research of Computers, 2019, 36 (5): 1585-1588. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)