Dense Visual Odometry

Dense Visual Odometry is a visual odometry method that estimates camera motion by utilizing pixel-level correspondences across consecutive image frames, distinguishing itself from sparse approaches through its reliance on dense brightness constancy constraints over the entire image domain.

79

Publications

8.2K

Citations

201

Authors

82

Institutions

Publications per year

2017–2026

35

Authors

201

  1. AI
    Andrew I. Comport

    Centre National de la Recherche Scientifique, France

    6 publications · 342 citations

    6

    h-index

  2. MM
    Maxime Meilland

    Centre National de la Recherche Scientifique, France

    5 publications · 226 citations

    5

    h-index

  3. PR
    Patrick Rives

    Institut national de recherche en sciences et technologies du numérique, France

    4 publications · 189 citations

    4

    h-index

  4. SL
    Stefan Leutenegger

    Imperial College London, United Kingdom

    4 publications · 114 citations

    4

    h-index

  5. DC
    Daniel Cremers

    Technical University of Munich, Germany

    4 publications · 2K citations

    4

    h-index

1–5 of 201

Venues

  1. Journal of Field Robotics

    JFR · 4 publications · 205 citations

    4

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 267 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 285 citations

    3

    h-index

  4. IEEE Transactions on Robotics

    2 publications · 233 citations

    2

    h-index

  5. Robotics and Autonomous Systems

    2 publications · 78 citations

    2

    h-index

1–5