Point Cloud Retrieval

Point Cloud Retrieval is the information retrieval task of identifying and retrieving relevant point cloud data from a large-scale dataset based on a query, which may be another point cloud, a 3D model, an image, or a textual description, thereby distinguishing it from other point cloud processing tasks by its focus on search and correspondence establishment.

59

Publications

4.1K

Citations

235

Authors

103

Institutions

Publications per year

2017–2026

27

Authors

235

  1. RC
    Remco C. Veltkamp

    Utrecht University, Netherlands

    4 publications · 245 citations

    4

    h-index

  2. CX
    Chunxia Xiao

    Wuhan University, China

    3 publications · 287 citations

    3

    h-index

  3. AG
    Afzal Godil

    National Institute of Standards and Technology, United States

    3 publications · 47 citations

    3

    h-index

  4. JW
    Johan W. H. Tangelder

    Utrecht University, Netherlands

    3 publications · 212 citations

    3

    h-index

  5. XB
    Xiang Bai

    Huazhong University of Science and Technology, China

    3 publications · 374 citations

    3

    h-index

1–5 of 235

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 85 citations

    3

    h-index

  2. IEEE Robotics and Automation Letters

    2 publications · 56 citations

    2

    h-index

  3. Pattern Recognition

    2 publications · 44 citations

    2

    h-index

  4. Multimedia Tools and Applications

    2 publications · 56 citations

    2

    h-index

  5. Journal of Symbolic Computation

    1 publications · 14 citations

    1

    h-index

1–5