Poisson Surface Reconstruction

Poisson Surface Reconstruction is a surface reconstruction method that computes an implicit surface from oriented point cloud data by solving a Poisson equation to estimate the indicator function of the underlying solid, distinguishing itself through its use of volumetric Poisson integration to reconstruct watertight manifolds even in the presence of sampling irregularities.

48

Publications

6.5K

Citations

170

Authors

95

Institutions

Publications per year

2017–2026

24

Authors

170

  1. HH
    Hugues Hoppe

    Microsoft Research (United Kingdom), United Kingdom

    4 publications · 2.4K citations

    4

    h-index

  2. RR
    Ravi Ramamoorthi

    University of California, Berkeley, United States

    2 publications · 208 citations

    2

    h-index

  3. PN
    Peter N. Belhumeur

    Columbia University, United States

    2 publications · 208 citations

    2

    h-index

  4. KZ
    Kun Zhou

    Zhejiang University, China

    2 publications · 174 citations

    2

    h-index

  5. ED
    Emil Dumić

    University of Zagreb, Croatia

    2 publications · 76 citations

    2

    h-index

1–5 of 170

Venues

  1. ACM Transactions on Graphics

    TOG · 6 publications · 2.6K citations

    6

    h-index

  2. Computer Graphics Forum

    6 publications · 427 citations

    6

    h-index

  3. Remote Sensing

    2 publications · 42 citations

    2

    h-index

  4. Computers & Graphics

    2 publications · 41 citations

    2

    h-index

  5. Micromachines

    1 publications · 17 citations

    1

    h-index

1–5