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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2730-2733

Improved algorithm for point cloud data simplification based on GPU parallel

Li Pushana,b
Li Weiboa,b
Feng Zhilia,b
Wan Quana,b
Wang Haironga,b
a. Hubei Key Laboratory of Intelligent Robot, b. School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan 430205, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0111

Abstract

The surface of the submerged ore deposits is flat and the collected points have more redundant points. In order to improve the efficiency of 3D modeling for deposits, this paper designed an improved algorithm for point cloud simplification based on GPU parallel. It fitted the points in each small grid by the least squares method, simplified the most of the redundant points according to the distance from each point to the fitting plane, and simplified the curvature of the remaining points at the second time. It confined the whole process to each small grid, which reduced the computational complexity and avoided the cavity phenomenon caused by over simplification. In addition, it processed the simplified process of point cloud in parallel with multi-threads based on GPU, which greatly improved the efficiency of the whole process. Experiments show that the improved algorithm achieves the effect of the original algorithm, improves the efficiency of the algorithm, and greatly reduces the execution time of the algorithm after using GPU acceleration.

Foundation Support

湖北省高校产学研合作重点资助项目(C2010033)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0111
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2730-2733
Serial Number: 1001-3695(2020)09-033-2730-04

Publish History

[2020-09-05] Printed Article

Cite This Article

李普山, 李伟波, 冯智莉, 等. 基于GPU并行的点云数据简化的改进算法 [J]. 计算机应用研究, 2020, 37 (9): 2730-2733. (Li Pushan, Li Weibo, Feng Zhili, et al. Improved algorithm for point cloud data simplification based on GPU parallel [J]. Application Research of Computers, 2020, 37 (9): 2730-2733. )

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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