Parametric Surface Visualization

Parametric Surface Visualization is a computational method in surface visualization that represents and renders surfaces through explicit mathematical mappings of two independent parameters, distinguishing it from implicit or geometric mesh-based approaches by its reliance on parametric equations to define surface geometry.

15

Publications

1.8K

Citations

20

Authors

12

Institutions

Publications per year

2017–2026

0

Authors

20

  1. JB
    J.F. Blinn

    California Institute of Technology, United States

    5 publications · 1.3K citations

    5

    h-index

  2. LF
    L.K. Forssell

    Ames Research Center, United States

    2 publications · 121 citations

    2

    h-index

  3. LC
    Loren Carpenter

    Boeing (United States), United States

    2 publications · 266 citations

    2

    h-index

  4. PR
    Peter Rehwald

    Atlas Elektronik (Germany), Germany

    1 publications · 21 citations

    1

    h-index

  5. HK
    Han Kyul Joo

    Massachusetts Institute of Technology, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 20

Venues

  1. IEEE Computer Graphics and Applications

    2 publications · 60 citations

    2

    h-index

  2. Communications of the ACM

    1 publications · 194 citations

    1

    h-index

  3. ACM Transactions on Graphics

    TOG · 1 publications · 1K citations

    1

    h-index

  4. Graphical Models

    1 publications · 16 citations

    1

    h-index

  5. Computer Graphics and Image Processing

    1 publications · 72 citations

    1

    h-index

1–5