Symmetry Detection

Symmetry Detection is a computational method within graph layout algorithms and shape grammar that identifies invariant structural transformations, such as reflection, rotation, or translation, preserved under automorphic mappings in geometric or combinatorial configurations.

491

Publications

24K

Citations

1K

Authors

457

Institutions

Publications per year

2017–2026

94

Authors

1K

  1. YL
    Yanxi Liu

    Carnegie Mellon University, United States

    11 publications · 587 citations

    11

    h-index

  2. SL
    Seungkyu Lee

    Kyung Hee University, South Korea

    9 publications · 425 citations

    9

    h-index

  3. KX
    Kai Xu

    National University of Defense Technology, China

    6 publications · 288 citations

    6

    h-index

  4. MW
    Michael Wand

    Max Planck Institute for Informatics, Germany

    6 publications · 550 citations

    6

    h-index

  5. AM
    Andrew M. Herbert

    Rochester Institute of Technology, United States

    6 publications · 325 citations

    6

    h-index

1–5 of 1K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 17 publications · 1.6K citations

    17

    h-index

  2. Computer Graphics Forum

    20 publications · 1.3K citations

    16

    h-index

  3. Pattern Recognition Letters

    13 publications · 500 citations

    12

    h-index

  4. ACM Transactions on Graphics

    TOG · 11 publications · 1.4K citations

    11

    h-index

  5. arXiv (Cornell University)

    Repository · 10 publications · 504 citations

    10

    h-index

1–5