Depth From Camera Models

Depth From Camera Models is a computational framework within computer vision that derives metric depth information from image data by leveraging the geometric and optical properties inherent in camera projection models.

23

Publications

1.5K

Citations

90

Authors

46

Institutions

Publications per year

2017–2026

11

Authors

90

  1. CS
    Chunhua Shen

    The University of Adelaide, Australia

    2 publications · 330 citations

    2

    h-index

  2. KW
    Kaixuan Wang

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

    2 publications · 330 citations

    2

    h-index

  3. WY
    Wei Yin

    The University of Adelaide, Australia

    2 publications · 330 citations

    2

    h-index

  4. AB
    Arunkumar Byravan

    University of Washington, United States

    1 publications · 35 citations

    1

    h-index

  5. AK
    Andreas Kamagaew

    Fraunhofer-Gesellschaft, Germany

    1 publications · 14 citations

    1

    h-index

1–5 of 90

Venues

  1. Computers and Electronics in Agriculture

    2 publications · 261 citations

    2

    h-index

  2. PLANT PHYSIOLOGY

    1 publications · 116 citations

    1

    h-index

  3. 1

    h-index

  4. Logistics Research

    1 publications · 14 citations

    1

    h-index

  5. International Journal of Smart Home

    IJSH · 1 publications · 55 citations

    1

    h-index

1–5