Multi-view 3D Reconstruction

Multi-View 3D Reconstruction is a 3D reconstruction method that leverages multiple two-dimensional images taken from different viewpoints to recover the three-dimensional structure of a scene or object, distinguishing itself from single-view and depth-based approaches by exploiting geometric consistency across multiple views.

624

Publications

42.7K

Citations

2K

Authors

603

Institutions

Publications per year

2017–2026

233

Authors

2K

  1. BJ
    Bahram Javidi

    University of Connecticut, United States

    10 publications · 426 citations

    10

    h-index

  2. AH
    Adrian Hilton

    University of Surrey, United Kingdom

    9 publications · 490 citations

    9

    h-index

  3. TM
    Takashi Matsuyama

    Kyoto University, Japan

    7 publications · 395 citations

    7

    h-index

  4. FK
    Fredrik Kahl

    Lund University, Sweden

    6 publications · 286 citations

    6

    h-index

  5. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    6 publications · 677 citations

    6

    h-index

1–5 of 2K

Venues

  1. International Journal of Computer Vision

    19 publications · 1.7K citations

    17

    h-index

  2. 12

    h-index

  3. arXiv (Cornell University)

    Repository · 14 publications · 891 citations

    12

    h-index

  4. 11

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 10 publications · 210 citations

    10

    h-index

1–5