Dense Reconstruction

Dense Reconstruction is a 3D reconstruction method that belongs to the class of geometric modeling techniques and is distinguished by its aim to estimate a highly detailed, pixel-level or point-level representation of a scene’s surface geometry from multiple views, preserving fine spatial structures as opposed to sparse or coarse approximations.

404

Publications

24.7K

Citations

1.4K

Authors

464

Institutions

Publications per year

2017–2026

190

Authors

1.4K

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    18 publications · 1.2K citations

    16

    h-index

  2. HB
    Horst Bischof

    Graz University of Technology, Austria

    7 publications · 307 citations

    7

    h-index

  3. AJ
    Andrew J. Davison

    Imperial College London, United Kingdom

    5 publications · 1.5K citations

    5

    h-index

  4. JC
    Javier Civera

    Universidad de Zaragoza, Spain

    5 publications · 281 citations

    5

    h-index

  5. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    5 publications · 362 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. 13

    h-index

  2. arXiv (Cornell University)

    Repository · 14 publications · 620 citations

    12

    h-index

  3. International Journal of Computer Vision

    9 publications · 612 citations

    9

    h-index

  4. IEEE Robotics and Automation Letters

    7 publications · 338 citations

    7

    h-index

  5. Remote Sensing

    6 publications · 191 citations

    6

    h-index

1–5