Knowledge Network Node
Version after Accepted
(Accepted Version) Online First Publishing Date: 2024-04-25 15:23:27

Point cloud registration method based on coordinate geometric samplingChinese Full Text

LIANG Jietao;LUO Bing;FU Lanhui;CHANG Qingling;LI Nannan;YI Ningbo;FENG Qi;HE Xin;DENG Fuqin;

Abstract: To improve accuracy, robustness, and generalization of point cloud registration and address the problem of the Iterative Closest Point(ICP) algorithm easily falling into local optimal solutions, a point cloud registration method(GSDCP) based on coordinate geometric sampling was proposed. Firstly, central point curvature was estimated using coordinates of surrounding points, and points that preserve geometric features of point clouds were selected based on their curvature size. After downsampling... More
  • Series:

    (I) Electronic Technology & Information Science

  • Subject:

    Computer Software and Application of Computer

  • Classification Code:

    TP391.41

CNKI exclusive online-first articles is prohibited to reprint and excerpt without permission.

Download the mobile appuse the app to scan this coderead the article.

Tips: Please download CAJViewer to view CAJ format full text.

Download: 373 Pagecount: 11 Size: 882K

Related Literature
  • Similar Article
  • Reader Recommendation
  • Associated Author