Point Cloud Matching is a computational method that identifies correspondences between two or more point clouds by aligning their geometric structures, distinguished from other point cloud processing techniques through its focus on establishing spatial equivalence and relative transformation parameters between disparate 3D scans.
729
Publications
50K
Citations
2.1K
Authors
678
Institutions
Publications per year
2017–2026
342
Parents
Publications
729
Efficient variants of the ICP algorithm
Szymon Rusinkiewicz, Marc Levoy · 2002 · 3.7K citations
A. Segal, D. Haehnel, Sebastian Thrun · 2009 · 1.4K citations · Full text
Aligning point cloud views using persistent feature histograms
Radu Bogdan Rusu, Nico Blodow, Zoltán-Csaba Márton et al. · 2008 · 1K citations
1–5 of 729
Authors
2.1K
- AR
9
h-index
- CW
8
h-index
- JY
8
h-index
- FR
7
h-index
- JL
6
h-index
1–5 of 2.1K
Institutions
678
Technical University of Munich
Munich, Germany
19 h-index
59 publications
10.5K citations
Wuhan University
Wuhan, China
17 h-index
73 publications
3.5K citations
Huazhong University of Science and Technology
Wuhan, China
14 h-index
48 publications
3K citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
14 h-index
31 publications
853 citations
National University of Defense Technology
Changsha, China
14 h-index
44 publications
4.6K citations
Tsinghua University
Beijing, China
13 h-index
25 publications
2.6K citations
Northwestern Polytechnical University
Xi'an, China
13 h-index
44 publications
2.3K citations
ETH Zurich
Zurich, Switzerland
13 h-index
45 publications
7.8K citations
1–8 of 678
Venues
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 25 publications · 3.1K citations
23
h-index
- Sensors
27 publications · 989 citations
17
h-index
- Remote Sensing
20 publications · 750 citations
16
h-index
- Pattern Recognition
17 publications · 1.6K citations
16
h-index
- IEEE Robotics and Automation Letters
14 publications · 878 citations
15
h-index
1–5