Hierarchical Shape Decomposition

Hierarchical Shape Decomposition is a constructive solid geometry method that organizes geometric primitives and Boolean operations in a tree-structured hierarchy, where each node represents a spatial subdivision or combination operation, enabling efficient representation, modification, and rendering of complex 3D shapes through recursive composition.

75

Publications

5K

Citations

200

Authors

132

Institutions

Publications per year

2017–2026

7

Authors

200

  1. GS
    Gabriella Sanniti di Baja

    Istituto di Cibernetica “Eduardo Caianiello”, Italy

    3 publications · 63 citations

    3

    h-index

  2. LD
    Leila De Floriani

    University of Genoa, Italy

    2 publications · 154 citations

    2

    h-index

  3. GB
    G. Borgefors

    Swedish University of Agricultural Sciences, Sweden

    2 publications · 51 citations

    2

    h-index

  4. KX
    Kai Xu

    National University of Defense Technology, China

    2 publications · 130 citations

    2

    h-index

  5. MS
    Micha Sharir

    Tel Aviv University, Israel

    2 publications · 155 citations

    2

    h-index

1–5 of 200

Venues

  1. 5

    h-index

  2. ACM Transactions on Graphics

    TOG · 3 publications · 710 citations

    3

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 394 citations

    3

    h-index

  4. Pattern Recognition

    3 publications · 176 citations

    3

    h-index

  5. Computer-Aided Design

    2 publications · 68 citations

    2

    h-index

1–5