Image-based Translucency Acquisition

Image-Based Translucency Acquisition is a computational method within translucency visualization that derives subsurface scattering properties of materials from photographic observations, distinguishing itself by reconstructing spatially-varying optical parameters directly from image data rather than through analytic modeling or manual specification.

2

Publications

27

Citations

10

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

10

  1. SK
    S. Kevin Zhou

    Siemens (United States), United States

    1 publications · 16 citations

    1

    h-index

  2. MK
    Masanori Kakimoto

    Fujitsu (Japan), Japan

    1 publications · 11 citations

    1

    h-index

  3. DK
    Dae-Young Kim

    The University of Tokyo, Japan

    1 publications · 16 citations

    1

    h-index

  4. SL
    SunMi Lee

    Siemens (United States), United States

    1 publications · 16 citations

    1

    h-index

  5. MS
    Michal Sofka

    Siemens (United States), United States

    1 publications · 16 citations

    1

    h-index

1–5 of 10

Venues

  1. The Visual Computer

    1 publications · 11 citations

    1

    h-index

  2. Lecture notes in computer science

    LNCS · Book series · 1 publications · 16 citations

    1

    h-index

1–2