Point Cloud Normal Estimation

Point Cloud Normal Estimation is a computational method in 3D geometric data processing that estimates the local surface orientation at each point in a point cloud by computing unit normal vectors based on the spatial distribution of neighboring points.

177

Publications

12.7K

Citations

536

Authors

215

Institutions

Publications per year

2017–2026

84

Authors

536

  1. XL
    Xiuping Liu

    Dalian University of Technology, China

    7 publications · 321 citations

    7

    h-index

  2. JW
    Jun Wang

    Nanjing University of Aeronautics and Astronautics, China

    7 publications · 425 citations

    7

    h-index

  3. JC
    Junjie Cao

    Dalian University of Technology, China

    7 publications · 366 citations

    7

    h-index

  4. DC
    Daniel Cohen‐Or

    Tel Aviv University, Israel

    6 publications · 1.4K citations

    6

    h-index

  5. XL
    Xuequan Lu

    Deakin University, Australia

    5 publications · 301 citations

    6

    h-index

1–5 of 536

Venues

  1. ACM Transactions on Graphics

    TOG · 9 publications · 1.7K citations

    9

    h-index

  2. Computer Graphics Forum

    9 publications · 882 citations

    9

    h-index

  3. Computer-Aided Design

    8 publications · 644 citations

    8

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 470 citations

    6

    h-index

  5. Remote Sensing

    4 publications · 113 citations

    5

    h-index

1–5