Surface Reconstruction

Surface Reconstruction is the computational process of inferring a continuous geometric surface model from a discrete set of sampled points in space, distinguished from related geometric modeling techniques by its focus on recovering the underlying topology and geometry of an object solely from empirical, often unstructured, point cloud data.

12.7K

Publications

881.9K

Citations

24.6K

Authors

3.7K

Institutions

Publications per year

2017–2026

3.5K

Authors

24.6K

  1. DC
    Daniel Cohen‐Or

    Tel Aviv University, Israel

    75 publications · 12.1K citations

    48

    h-index

  2. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    67 publications · 6K citations

    38

    h-index

  3. TF
    Thomas Funkhouser

    Princeton University, United States

    45 publications · 15.5K citations

    34

    h-index

  4. HZ
    Hao Zhang

    Simon Fraser University, Canada

    51 publications · 6.8K citations

    32

    h-index

  5. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    42 publications · 4.8K citations

    30

    h-index

1–5 of 24.6K

Venues

  1. ACM Transactions on Graphics

    TOG · 367 publications · 59K citations

    115

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 353 publications · 61.4K citations

    100

    h-index

  3. Computer Graphics Forum

    329 publications · 22.5K citations

    79

    h-index

  4. ISPRS Journal of Photogrammetry and Remote Sensing

    168 publications · 13.6K citations

    65

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 205 publications · 15.7K citations

    63

    h-index

1–5