Point Cloud Encoding

Point Cloud Encoding is a computational method that transforms raw point cloud data into a compact, structured representation by preserving spatial and semantic characteristics through encoding techniques specific to irregular 3D point sets.

244

Publications

11.6K

Citations

567

Authors

192

Institutions

Publications per year

2017–2026

214

Authors

567

  1. ZL
    Zhu Li

    University of Missouri–Kansas City, United States

    16 publications · 1.6K citations

    17

    h-index

  2. WG
    Wei Gao

    Peking University, China

    15 publications · 608 citations

    15

    h-index

  3. RL
    Ricardo L. de Queiroz

    Universidade de Brasília, Brazil

    12 publications · 847 citations

    12

    h-index

  4. PA
    Philip A. Chou

    Microsoft (United States), United States

    14 publications · 1.5K citations

    12

    h-index

  5. FP
    Fernando Pereira

    Instituto de Telecomunicações, Portugal

    16 publications · 750 citations

    12

    h-index

1–5 of 567

Venues

  1. 13

    h-index

  2. arXiv (Cornell University)

    Repository · 14 publications · 382 citations

    11

    h-index

  3. IEEE Transactions on Image Processing

    11 publications · 812 citations

    11

    h-index

  4. IEEE Signal Processing Letters

    7 publications · 230 citations

    9

    h-index

  5. IEEE Transactions on Multimedia

    8 publications · 491 citations

    8

    h-index

1–5