Transfer Function Classification

Transfer Function Classification is a systematic framework within volume rendering that categorizes transfer functions according to their mapping strategies, distinguishing itself by organizing such functions based on the topological, statistical, or semantic characteristics of the underlying data to facilitate structured visual analysis.

12

Publications

577

Citations

35

Authors

17

Institutions

Publications per year

2017–2026

0

Authors

35

  1. AY
    Anders Ynnerman

    Linköping University, Sweden

    3 publications · 174 citations

    3

    h-index

  2. BP
    Binh P. Nguyen

    Victoria University of Wellington, New Zealand

    2 publications · 50 citations

    2

    h-index

  3. PL
    Patric Ljung

    Linköping University, Sweden

    2 publications · 162 citations

    2

    h-index

  4. CL
    Claes Lundström

    Linköping University, Sweden

    2 publications · 162 citations

    2

    h-index

  5. JK
    Joe Kniss

    University of Utah, United States

    2 publications · 131 citations

    2

    h-index

1–5 of 35

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 262 citations

    4

    h-index

  2. Computer Graphics Forum

    2 publications · 43 citations

    2

    h-index

  3. Journal of the Optical Society of America A

    1 publications · 31 citations

    1

    h-index

  4. The Visual Computer

    1 publications · 39 citations

    1

    h-index

  5. Eurographics

    Repository · 1 publications · 37 citations

    1

    h-index

1–5