Pose Estimation

Pose Estimation is a computational process within the field of computer vision and robot perception that determines the spatial orientation and position of an object or body parts relative to a given coordinate system, distinguishing itself from other localization methods by focusing specifically on estimating both rotational and translational parameters of an entity from visual or sensor data.

18.4K

Publications

1.2M

Citations

35.6K

Authors

4.2K

Institutions

Publications per year

2017–2026

7.5K

Authors

35.6K

  1. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    96 publications · 14.5K citations

    49

    h-index

  2. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    81 publications · 7.2K citations

    44

    h-index

  3. WB
    Wolfram Burgard

    University of Freiburg, Germany

    74 publications · 17.5K citations

    44

    h-index

  4. DS
    Davide Scaramuzza

    University of Zurich, Switzerland

    64 publications · 15.4K citations

    40

    h-index

  5. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    71 publications · 9.5K citations

    40

    h-index

1–5 of 35.6K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 403 publications · 78.2K citations

    123

    h-index

  2. arXiv (Cornell University)

    Repository · 653 publications · 30.6K citations

    79

    h-index

  3. IEEE Transactions on Robotics

    181 publications · 39.5K citations

    75

    h-index

  4. The International Journal of Robotics Research

    IJRR · 177 publications · 26.2K citations

    71

    h-index

  5. IEEE Robotics and Automation Letters

    323 publications · 17.5K citations

    67

    h-index

1–5