Motion Capture Processing

Motion Capture Processing is a computational method that refines raw motion capture data into usable animation sequences by filtering noise, resolving marker occlusions, and aligning skeletal kinematics, thereby distinguishing itself from related data acquisition and animation synthesis techniques through its focus on post-recording data correction and transformation.

497

Publications

24K

Citations

1.7K

Authors

601

Institutions

Publications per year

2017–2026

199

Authors

1.7K

  1. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    7 publications · 492 citations

    7

    h-index

  2. DF
    David Forsyth

    University of Illinois Urbana-Champaign, United States

    6 publications · 1.3K citations

    6

    h-index

  3. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    6 publications · 338 citations

    6

    h-index

  4. JK
    Jessica K. Hodgins

    Carnegie Mellon University, United States

    5 publications · 496 citations

    5

    h-index

  5. SN
    Shin’ichiro Nakaoka

    National Institute of Advanced Industrial Science and Technology, Japan

    4 publications · 170 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. Sensors

    19 publications · 611 citations

    16

    h-index

  2. ACM Transactions on Graphics

    TOG · 12 publications · 1.4K citations

    12

    h-index

  3. Journal of Sports Sciences

    11 publications · 382 citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 12 publications · 740 citations

    11

    h-index

  5. Journal of Applied Biomechanics

    JAB · 9 publications · 341 citations

    9

    h-index

1–5