ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.03899
  4. Cited By
Iterative Global Similarity Points : A robust coarse-to-fine integration
  solution for pairwise 3D point cloud registration

Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration

12 August 2018
Yue Pan
Bisheng Yang
Fuxun Liang
Z. Dong
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration"

2 / 2 papers shown
Title
Lifelong 3D Mapping Framework for Hand-held & Robot-mounted LiDAR Mapping Systems
Lifelong 3D Mapping Framework for Hand-held & Robot-mounted LiDAR Mapping Systems
Liudi Yang
Sai Manoj Prakhya
Senhua Zhu
Ziyuan Liu
115
2
0
30 Jan 2025
Rotational Projection Statistics for 3D Local Surface Description and
  Object Recognition
Rotational Projection Statistics for 3D Local Surface Description and Object Recognition
Yulan Guo
Ferdous Sohel
Bennamoun
Min Lu
Jianwei Wan
54
629
0
11 Apr 2013
1