Point Cloud Sampling

Point Cloud Sampling is a computational method in point cloud processing that reduces the number of points in a 3D point cloud while preserving its geometric structure and salient features for efficient downstream analysis.

157

Publications

9.2K

Citations

457

Authors

181

Institutions

Publications per year

2017–2026

70

Authors

457

  1. LG
    Leonidas Guibas

    Stanford University, United States

    4 publications · 527 citations

    4

    h-index

  2. CM
    Carsten Moenning

    University of Cambridge, United Kingdom

    4 publications · 260 citations

    4

    h-index

  3. NJ
    Niloy J. Mitra

    University College London, United Kingdom

    3 publications · 751 citations

    3

    h-index

  4. YC
    Yi Chen

    Arizona State University, United States

    3 publications · 72 citations

    3

    h-index

  5. LK
    Leif Kobbelt

    RWTH Aachen University, Germany

    3 publications · 141 citations

    3

    h-index

1–5 of 457

Venues

  1. ACM Transactions on Graphics

    TOG · 10 publications · 460 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 187 citations

    7

    h-index

  3. Computer Graphics Forum

    6 publications · 401 citations

    6

    h-index

  4. Remote Sensing

    5 publications · 114 citations

    5

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 771 citations

    5

    h-index

1–5