Shape Decomposition

Shape Decomposition is a computational method in shape analysis that partitions a complex geometric shape into simpler, meaningful, and often interpretable subcomponents based on structural or topological criteria.

206

Publications

9.8K

Citations

491

Authors

268

Institutions

Publications per year

2017–2026

25

Authors

491

  1. JX
    Jianning Xu

    Rowan University, United States

    5 publications · 105 citations

    5

    h-index

  2. JL
    Jyh‐Ming Lien

    George Mason University, United States

    5 publications · 375 citations

    5

    h-index

  3. NM
    Nancy M. Amato

    Texas A&M University, United States

    4 publications · 354 citations

    4

    h-index

  4. WL
    Wenyu Liu

    Huazhong University of Science and Technology, China

    4 publications · 212 citations

    4

    h-index

  5. HR
    H. Rom

    University of Southern California, United States

    3 publications · 158 citations

    3

    h-index

1–5 of 491

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 17 publications · 1.2K citations

    15

    h-index

  2. Pattern Recognition

    13 publications · 590 citations

    12

    h-index

  3. Computer-Aided Design

    10 publications · 347 citations

    10

    h-index

  4. IEEE Transactions on Image Processing

    7 publications · 226 citations

    7

    h-index

  5. ACM Transactions on Graphics

    TOG · 7 publications · 1K citations

    7

    h-index

1–5