您当前的位置:
首页 >
文章列表页 >
Point cloud matching algorithm based on adaptive local neighborhood conditions
Information Sciences | 更新时间:2024-06-11
    • Point cloud matching algorithm based on adaptive local neighborhood conditions

    • In the field of point cloud registration, researchers have proposed an adaptive point cloud matching algorithm under local neighborhood conditions, which effectively improves registration accuracy and speed.
    • Optics and Precision Engineering   Vol. 32, Issue 10, Pages: 1606-1621(2024)
    • DOI:10.37188/OPE.20243210.1606    

      CLC: P231.5
    • Received:29 November 2023

      Revised:20 February 2024

      Published:25 May 2024

    移动端阅览

  • LI Jinru,WANG Jin,GUO Songtao,et al.Point cloud matching algorithm based on adaptive local neighborhood conditions[J].Optics and Precision Engineering,2024,32(10):1606-1621. DOI: 10.37188/OPE.20243210.1606.

  •  
  •  

0

Views

68

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Grid laser high back suppression and center extraction error correction
Matching method of cultural relics fragments based on multi-feature parameters fusion
Hierarchical optimization of skull point cloud registration
Optimization registration of point cloud model of skull
Comparison inspection between ICT images & CAD model based on edge extracting by neural networks

Related Author

LI Junrui
WANG Yonghong
YAO Yanfeng
MA Yuhan
WU Nannan
WANG Biao
ZHOU Mingquan
ZHAO Fuqun

Related Institution

School of Instrument Science and Optoelectronic Engineering, Hefei University of Technology
School of Information, Xi’an University of Finance and Economics
School of Information Science and Technology, Northwest University
College of Information Science and Technology, Northwest University, Xi′an
College of Information Science and Technology, Beijing Normal University
0