Function-based Shape Modeling

Function-Based Shape Modeling is a shape modeling paradigm within implicit modeling that represents geometric forms through mathematical functions, wherein the distinction from other representations lies in the use of real-valued continuous functions to implicitly define shapes by mapping spatial coordinates to a scalar field indicating membership.

57

Publications

4.3K

Citations

142

Authors

72

Institutions

Publications per year

2017–2026

13

Variants

Function-based Modeling

Authors

142

  1. AS
    Alexei Sourin

    Nanyang Technological University, Singapore

    10 publications · 721 citations

    10

    h-index

  2. AP
    Alexander Pasko

    Bournemouth University, United Kingdom

    7 publications · 767 citations

    7

    h-index

  3. MM
    Michael M. Bronstein

    Università della Svizzera italiana, Switzerland

    3 publications · 175 citations

    3

    h-index

  4. QL
    Qi Liu

    University of Science and Technology of China, China

    3 publications · 73 citations

    3

    h-index

  5. VA
    Valery Adzhiev

    Bournemouth University, United Kingdom

    3 publications · 643 citations

    3

    h-index

1–5 of 142

Venues

  1. Computers & Graphics

    5 publications · 115 citations

    5

    h-index

  2. The Visual Computer

    3 publications · 605 citations

    3

    h-index

  3. IEEE Computer Graphics and Applications

    2 publications · 82 citations

    2

    h-index

  4. Computers & Structures

    2 publications · 127 citations

    2

    h-index

  5. Applied Mathematics Letters

    1 publications · 30 citations

    1

    h-index

1–5