Shape Matching

Shape Matching is a computational method in shape analysis that establishes correspondences between geometric structures by identifying invariant features to enable comparison, retrieval, or alignment of shapes under transformation.

1.4K

Publications

129.2K

Citations

3.1K

Authors

941

Institutions

Publications per year

2017–2026

198

Authors

3.1K

  1. MM
    Michael M. Bronstein

    Università della Svizzera italiana, Switzerland

    27 publications · 2.6K citations

    24

    h-index

  2. MO
    Maks Ovsjanikov

    Laboratoire d'Informatique de l'École Polytechnique, France

    32 publications · 3.7K citations

    23

    h-index

  3. DC
    Daniel Cremers

    Technical University of Munich, Germany

    29 publications · 2.4K citations

    22

    h-index

  4. ER
    Emanuele Rodolà

    Sapienza University of Rome, Italy

    26 publications · 1.5K citations

    20

    h-index

  5. TF
    Thomas Funkhouser

    Princeton University, United States

    20 publications · 7.2K citations

    18

    h-index

1–5 of 3.1K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 100 publications · 31.7K citations

    64

    h-index

  2. Computer Graphics Forum

    60 publications · 7.7K citations

    34

    h-index

  3. Pattern Recognition

    53 publications · 4K citations

    30

    h-index

  4. ACM Transactions on Graphics

    TOG · 35 publications · 6.8K citations

    27

    h-index

  5. IEEE Transactions on Image Processing

    29 publications · 2.5K citations

    23

    h-index

1–5