Motion Rescaling

Motion Rescaling is a computational method that adjusts the spatial or temporal scale of motion data while preserving its essential kinematic or dynamic characteristics, distinguishing it from related motion processing techniques by specifically targeting scale transformation in motion representation.

15

Publications

595

Citations

44

Authors

36

Institutions

Publications per year

2017–2026

4

Authors

44

  1. CE
    Charles E. Wright

    University of California, Irvine, United States

    2 publications · 129 citations

    2

    h-index

  2. GL
    Geoffrey L. Collier

    South Carolina State University, United States

    2 publications · 129 citations

    2

    h-index

  3. DM
    David M. LeMaster

    New York State Department of Health, United States

    1 publications · 19 citations

    1

    h-index

  4. YR
    Yanli Ren

    Shanghai University, China

    1 publications · 11 citations

    1

    h-index

  5. GB
    G. Blatter

    ETH Zurich, Switzerland

    1 publications · 35 citations

    1

    h-index

1–5 of 44

Venues

  1. Physical Review Letters

    PRL · 3 publications · 174 citations

    3

    h-index

  2. 2

    h-index

  3. Biophysical Chemistry

    BPC · 1 publications · 19 citations

    1

    h-index

  4. Journal of Computational Chemistry

    1 publications · 21 citations

    1

    h-index

  5. Computer Graphics Forum

    1 publications · 17 citations

    1

    h-index

1–5