Shape Space Modeling

Shape Space Modeling is a mathematical framework that represents the space of all possible shapes as a geometric manifold, distinguished by its incorporation of deformation metrics and structural constraints to enable systematic analysis and interpolation of shape variations.

302

Publications

22.7K

Citations

776

Authors

334

Institutions

Publications per year

2017–2026

71

Authors

776

  1. HP
    Helmut Pottmann

    TU Wien, Austria

    8 publications · 619 citations

    8

    h-index

  2. IL
    Ian L. Dryden

    University of Nottingham, United Kingdom

    8 publications · 487 citations

    8

    h-index

  3. AS
    Anuj Srivastava

    Florida State University, United States

    7 publications · 3.1K citations

    7

    h-index

  4. NJ
    Niloy J. Mitra

    University College London, United Kingdom

    7 publications · 668 citations

    7

    h-index

  5. HL
    Huiling Le

    University of Nottingham, United Kingdom

    7 publications · 307 citations

    7

    h-index

1–5 of 776

Venues

  1. ACM Transactions on Graphics

    TOG · 20 publications · 2.5K citations

    17

    h-index

  2. Computer Graphics Forum

    11 publications · 342 citations

    11

    h-index

  3. Advances in Applied Probability

    AAP · 10 publications · 410 citations

    10

    h-index

  4. arXiv (Cornell University)

    Repository · 9 publications · 239 citations

    9

    h-index

  5. 8

    h-index

1–5