Image-based Modeling

Image-Based Modeling is a computational approach within computer vision and graphics that, as a singular methodological framework, constructs three-dimensional representations of scenes or objects from two-dimensional image data by leveraging geometric, photometric, and statistical inference techniques derived directly from the input imagery.

437

Publications

38.6K

Citations

1.3K

Authors

491

Institutions

Publications per year

2017–2026

82

Variants

Image-based Modelling

Authors

1.3K

  1. LQ
    Long Quan

    Hong Kong University of Science and Technology, Hong Kong SAR China

    8 publications · 747 citations

    8

    h-index

  2. RS
    Richard Szeliski

    Microsoft (United States), United States

    8 publications · 7.7K citations

    8

    h-index

  3. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    7 publications · 1.7K citations

    7

    h-index

  4. YF
    Yasutaka Furukawa

    Simon Fraser University, Canada

    7 publications · 1.3K citations

    7

    h-index

  5. PT
    Ping Tan

    Simon Fraser University, Canada

    6 publications · 445 citations

    6

    h-index

1–5 of 1.3K