Point Cloud Alignment

Point Cloud Alignment is a computational method that establishes spatial correspondence between two or more point clouds by estimating the optimal geometric transformation that minimizes the distance between overlapping regions, distinguishing it from other point cloud processing tasks through its focus on relative pose estimation and registration.

405

Publications

24.9K

Citations

1.3K

Authors

409

Institutions

Publications per year

2017–2026

251

Authors

1.3K

  1. JZ
    Jian Zhang

    University of Technology Sydney, Australia

    8 publications · 717 citations

    8

    h-index

  2. XH
    Xiaoshui Huang

    Shanghai Artificial Intelligence Laboratory

    7 publications · 667 citations

    7

    h-index

  3. CW
    Cheng Wang

    Xiamen University, China

    6 publications · 154 citations

    6

    h-index

  4. SD
    Shaoyi Du

    Xi'an Jiaotong University, China

    5 publications · 184 citations

    5

    h-index

  5. HX
    Hong Xie

    University of Toledo, United States

    5 publications · 165 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. 20

    h-index

  2. arXiv (Cornell University)

    Repository · 18 publications · 781 citations

    13

    h-index

  3. Remote Sensing

    14 publications · 319 citations

    12

    h-index

  4. Sensors

    13 publications · 508 citations

    11

    h-index

  5. 10

    h-index

1–5