Non-rigid Pose Estimation

Non-Rigid Pose Estimation is a methodological framework within pose estimation that specifically addresses the challenge of estimating the spatial configuration of deformable objects or articulated structures by modeling non-rigid transformations, thereby distinguishing it from rigid pose estimation approaches that assume fixed Euclidean geometry.

104

Publications

6.9K

Citations

296

Authors

132

Institutions

Publications per year

2017–2026

46

Authors

296

  1. FM
    Francesc Moreno-Noguer

    Institut de Robòtica i Informàtica Industrial, Spain

    8 publications · 283 citations

    8

    h-index

  2. AA
    Antonio Agudo

    Instituto de Catálisis y Petroleoquímica, Spain

    6 publications · 234 citations

    6

    h-index

  3. SD
    Simone D’Amico

    Stanford University, United States

    5 publications · 304 citations

    5

    h-index

  4. CW
    Chaoyang Wang

    Carnegie Mellon University, United States

    4 publications · 85 citations

    4

    h-index

  5. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    4 publications · 481 citations

    4

    h-index

1–5 of 296

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 165 citations

    7

    h-index

  2. Image and Vision Computing

    5 publications · 200 citations

    5

    h-index

  3. 4

    h-index

  4. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 3 publications · 921 citations

    3

    h-index

  5. Acta Astronautica

    3 publications · 117 citations

    3

    h-index

1–5