您当前的位置:
首页 >
文章列表页 >
Hierarchical point cloud denoising with geometric feature preservation
Information Sciences | 更新时间:2025-09-28
    • Hierarchical point cloud denoising with geometric feature preservation

    • In the field of point cloud data processing, experts have proposed a hierarchical point cloud denoising algorithm that preserves geometric features, effectively improving denoising accuracy.
    • Optics and Precision Engineering   Vol. 33, Issue 16, Pages: 2616-2629(2025)
    • DOI:10.37188/OPE.20253316.2616    

      CLC: TP391
    • CSTR:32169.14.OPE.20253316.2616    
    • Received:21 March 2025

      Revised:2025-06-27

      Published:25 August 2025

    移动端阅览

  • ZHAO Fuqun,YU Jiale,HAO Hanzhu,et al.Hierarchical point cloud denoising with geometric feature preservation[J].Optics and Precision Engineering,2025,33(16):2616-2629. DOI: 10.37188/OPE.20253316.2616. CSTR: 32169.14.OPE.20253316.2616.

  •  
  •  

0

Views

0

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

Hierarchical point cloud denoising algorithm
Technique of image guided radiotherapy with conventional video cameras
Denoising of three-dimensional point data based on classification of feature information
Magnetic levitation detection for plastic optical lenses

Related Author

Fu-qun ZHAO
Guo-sheng SHEN
WU Lu-shen
SHI Hao-liang
CHEN Hua-wei
ZHAO Peng
XIE Jun
FU Jian-zhong

Related Institution

Shool of Information, Xi'an University of Finance and Economics
Shool of Information Science and Technology, Northwest University
Institute of Modern Physics, Chinese Academy of Sciences
University of Chinese Academy of Sciences
Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine
0