Depth From Motion

Depth From Motion is a computational method in computer vision that estimates scene depth by analyzing the geometric and photometric changes in image sequences induced by relative motion between the camera and the environment.

129

Publications

6.8K

Citations

320

Authors

154

Institutions

Publications per year

2017–2026

33

Authors

320

  1. YA
    Yiannis Aloimonos

    University of Maryland, College Park, United States

    5 publications · 170 citations

    5

    h-index

  2. MT
    Mássimo Tistarelli

    University of Sassari, Italy

    5 publications · 272 citations

    5

    h-index

  3. GS
    Giulio Sandini

    Italian Institute of Technology, Italy

    4 publications · 230 citations

    4

    h-index

  4. CF
    Cornelia Fermüller

    University of Maryland, College Park, United States

    4 publications · 154 citations

    4

    h-index

  5. JD
    Jia Deng

    University of Michigan, United States

    3 publications · 227 citations

    3

    h-index

1–5 of 320

Venues

  1. 9

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 133 citations

    4

    h-index

  3. IEEE Transactions on Image Processing

    4 publications · 132 citations

    4

    h-index

  4. 4

    h-index

  5. Vision Research

    3 publications · 85 citations

    3

    h-index

1–5