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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1586-1589

3D object shape completion under learning point cloud neighborhood information

Zhang Jingjun
Zheng Can
Gao Ruizhen
School of Mechanical & Equipment Engineering, Hebei University of Engineering, Handan Hebei 056000, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0383

Abstract

In the real world, point cloud data collection methods include LiDAR, binocular cameras, and depth cameras, but due to factors such as device resolution and surrounding environment during robot collection, the collected point cloud data is usually incomplete. In order to solve the problem of missing object shape, this paper proposed a 3D point cloud object shape auto-completion network that learnt local neighborhood information. The network consisted of a point cloud feature extraction network and a point cloud generation network. It took missing point cloud shape as input, missing part of the point cloud shape as output, and merged the input and output point cloud shape to complete the shape of the object. The experimental results show that on the ShapeNet dataset, the average chamfer distance and the average earth mover's distance are smaller than the value of the multi-layer perceptron feature extraction network and PCN network, and the two values are 0.000 84 and 0.028, respectively. Complementing the point cloud data scanned in reality also achieves the expected results, this paper indicates that the network has strong generalization and can repair different types of objects.

Foundation Support

河北省高校科技攻关项目(ZD2018207)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0383
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Technology of Graphic & Image
Pages: 1586-1589
Serial Number: 1001-3695(2022)05-052-1586-04

Publish History

[2021-11-22] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

张京军, 郑灿, 高瑞贞. 学习点云邻域信息的三维物体形状补全 [J]. 计算机应用研究, 2022, 39 (5): 1586-1589. (Zhang Jingjun, Zheng Can, Gao Ruizhen. 3D object shape completion under learning point cloud neighborhood information [J]. Application Research of Computers, 2022, 39 (5): 1586-1589. )

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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