Curvature Estimation

Curvature Estimation is a computational method in mesh processing that quantifies local surface shape characteristics by approximating principal curvatures and directions at vertices or faces of a discrete mesh, distinguishing itself from other geometric analysis techniques through its focus on differential properties derived from triangulated surface representations.

967

Publications

59.4K

Citations

2.1K

Authors

795

Institutions

Publications per year

2017–2026

122

Authors

2.1K

  1. AB
    Alexander Belyaev

    Max Planck Institute for Informatics, Germany

    15 publications · 897 citations

    12

    h-index

  2. OM
    Olivier Monga

    Institut national de recherche en sciences et technologies du numérique, France

    11 publications · 555 citations

    11

    h-index

  3. AK
    Andreas Koschan

    University of Tennessee at Knoxville, United States

    10 publications · 613 citations

    10

    h-index

  4. AS
    Anuj Srivastava

    Florida State University, United States

    8 publications · 1.2K citations

    8

    h-index

  5. XG
    Xianfeng Gu

    Stony Brook University, United States

    8 publications · 384 citations

    8

    h-index

1–5 of 2.1K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 40 publications · 5.6K citations

    31

    h-index

  2. ACM Transactions on Graphics

    TOG · 26 publications · 2.5K citations

    22

    h-index

  3. Computer-Aided Design

    20 publications · 896 citations

    17

    h-index

  4. Computer Aided Geometric Design

    25 publications · 2K citations

    17

    h-index

  5. Pattern Recognition

    20 publications · 1.2K citations

    16

    h-index

1–5