Solid Reconstruction

Solid Reconstruction is a computational method within solid modeling that, by inferring a valid, watertight, and manifold 3D solid representation from discrete, partial, or noisy input data, distinguishes itself from other reconstruction techniques through its strict adherence to geometric and topological consistency with respect to domain-specific constraints.

46

Publications

3.3K

Citations

134

Authors

63

Institutions

Publications per year

2017–2026

2

Authors

134

  1. DC
    Daniel Cohen‐Or

    Tel Aviv University, Israel

    4 publications · 149 citations

    4

    h-index

  2. NA
    Nina Amenta

    University of California, Davis, United States

    4 publications · 613 citations

    4

    h-index

  3. CC
    Charlie C. L. Wang

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 148 citations

    3

    h-index

  4. TL
    Thomas Lewiner

    Pontifícia Universidade Católica do Rio de Janeiro, Brazil

    2 publications · 97 citations

    2

    h-index

  5. MM
    Matthew M. F. Yuen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 80 citations

    2

    h-index

1–5 of 134

Venues

  1. Computer-Aided Design

    10 publications · 509 citations

    10

    h-index

  2. Computer Graphics Forum

    3 publications · 359 citations

    3

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. Computers & Graphics

    2 publications · 45 citations

    2

    h-index

1–5