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
12
Statistically Quantitative Volume Visualization
Joe Kniss, Robert Van Uitert, Anna Stephens et al. · 2006 · 81 citations
Statistically Quantitative Volume Visualization
Joe Kniss, R. Van Uitert, A. Stephens et al. · 2006 · 50 citations
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35
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17

Linköping University
Linköping, Sweden
3 h-index
9 publications
522 citations
University of Utah
Salt Lake City, United States
3 h-index
10 publications
617 citations
National University of Singapore
Singapore, Singapore
2 h-index
8 publications
200 citations
National Institutes of Health
Bethesda, United States
2 h-index
2 publications
131 citations
University of California, Davis
Davis, United States
2 h-index
5 publications
301 citations
University of Florida
Gainesville, United States
1 h-index
2 publications
54 citations
Advanced Imaging Research (United States)
Cleveland, United States
1 h-index
1 publications
12 citations
United States Department of Health and Human Services
Washington, United States
1 h-index
1 publications
50 citations
1–8 of 17
TVCG · 4 publications · 262 citations
4
h-index
2 publications · 43 citations
2
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1 publications · 31 citations
1
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1 publications · 39 citations
1
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Repository · 1 publications · 37 citations
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