Skeleton Fitting

Skeleton Fitting is a computational process in motion capture that estimates the articulated structure of a subject by aligning a parametric skeletal model to sensor or visual data through optimization of joint positions and orientations.

72

Publications

6.1K

Citations

262

Authors

122

Institutions

Publications per year

2017–2026

26

Authors

262

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    4 publications · 2.1K citations

    4

    h-index

  2. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    3 publications · 1.6K citations

    3

    h-index

  3. CS
    Carsten Stoll

    Max Planck Institute for Informatics, Germany

    2 publications · 427 citations

    2

    h-index

  4. IB
    Ilya Baran

    Adobe Systems (United States), United States

    2 publications · 818 citations

    2

    h-index

  5. DM
    Diana Mateus

    Technical University of Munich, Germany

    2 publications · 102 citations

    2

    h-index

1–5 of 262

Venues

  1. ACM Transactions on Graphics

    TOG · 4 publications · 2.2K citations

    4

    h-index

  2. Pattern Recognition Letters

    4 publications · 89 citations

    4

    h-index

  3. 2

    h-index

  4. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 427 citations

    2

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 2 publications · 235 citations

    2

    h-index

1–5