Transparency Transfer Functions

Transparency Transfer Functions is a methodological construct in visualization science that defines the mapping between data values and opacity levels to enable selective discernibility of internal structures within volumetric displays.

8

Publications

234

Citations

11

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

11

  1. SC
    Sergio Cesare Masin

    University of Padua, Italy

    1 publications · 46 citations

    1

    h-index

  2. RS
    Robert S. Allison

    York University, Canada

    1 publications · 17 citations

    1

    h-index

  3. IT
    Inna Tsirlin

    York University, Canada

    1 publications · 17 citations

    1

    h-index

  4. AJ
    Alan J. Glynn

    1 publications · 14 citations

    1

    h-index

  5. AD
    Arnold Daniels

    University of Central Florida, United States

    1 publications · 62 citations

    1

    h-index

1–5 of 11

Venues

  1. Vision Research

    2 publications · 43 citations

    2

    h-index

  2. Zoosymposia

    1 publications · 10 citations

    1

    h-index

  3. Optical Engineering

    1 publications · 62 citations

    1

    h-index

  4. NeuroImage

    1 publications · 45 citations

    1

    h-index

  5. Perception & Psychophysics

    1 publications · 46 citations

    1

    h-index

1–5