3D Reconstruction

3D Reconstruction is a computational task in computer vision whereby a three-dimensional representation of a scene or object—typically in the form of point clouds, meshes, or volumetric models—is inferred from one or more sensor observations such as two-dimensional images or depth measurements by estimating their underlying geometry and spatial structure.

32.3K

Publications

2.1M

Citations

61.6K

Authors

6.8K

Institutions

Publications per year

2017–2026

12.1K

Authors

61.6K

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    167 publications · 16.7K citations

    64

    h-index

  2. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    109 publications · 16.1K citations

    62

    h-index

  3. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    121 publications · 14.5K citations

    55

    h-index

  4. DC
    Daniel Cohen‐Or

    Tel Aviv University, Israel

    92 publications · 12K citations

    54

    h-index

  5. RS
    Richard Szeliski

    Microsoft (United States), United States

    73 publications · 21.6K citations

    52

    h-index

1–5 of 61.6K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 850 publications · 146.7K citations

    157

    h-index

  2. ACM Transactions on Graphics

    TOG · 478 publications · 73.6K citations

    138

    h-index

  3. International Journal of Computer Vision

    301 publications · 46.7K citations

    98

    h-index

  4. arXiv (Cornell University)

    Repository · 1.1K publications · 53K citations

    90

    h-index

  5. IEEE Transactions on Image Processing

    415 publications · 28.1K citations

    86

    h-index

1–5