Stereo Reconstruction

Stereo Reconstruction is a method in 3D reconstruction that computes depth information by triangulating corresponding points between two or more rectified images captured from stereo-calibrated viewpoints, differing from other image-based reconstruction techniques in its reliance on geometric correspondence across a fixed pair of views.

1.2K

Publications

70K

Citations

3.1K

Authors

858

Institutions

Publications per year

2017–2026

227

Authors

3.1K

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    16 publications · 1.6K citations

    15

    h-index

  2. SN
    Sergiu Nedevschi

    Technical University of Cluj-Napoca, Romania

    16 publications · 682 citations

    14

    h-index

  3. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    13 publications · 2.2K citations

    13

    h-index

  4. RS
    Richard Szeliski

    Microsoft (United States), United States

    12 publications · 3.8K citations

    11

    h-index

  5. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    10 publications · 2.4K citations

    10

    h-index

1–5 of 3.1K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 41 publications · 7.4K citations

    29

    h-index

  2. 21

    h-index

  3. International Journal of Computer Vision

    24 publications · 2.8K citations

    20

    h-index

  4. IEEE Transactions on Image Processing

    19 publications · 1.1K citations

    17

    h-index

  5. Image and Vision Computing

    16 publications · 796 citations

    13

    h-index

1–5