Multidimensional Transfer Functions is a volume rendering technique that extends conventional transfer functions by mapping multiple data attributes—such as scalar intensity, gradient magnitude, and higher-order derived features—to optical properties, thereby enabling more sophisticated and discriminative visualization of complex volumetric datasets through joint feature classification.
48
Publications
3.3K
Citations
129
Authors
53
Institutions
Publications per year
2017–2026
1
Publications
48
1–5 of 48
Authors
129
- CH
8
h-index
- JK
4
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- SB
4
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- KM
3
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- ME
3
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1–5 of 129
Institutions
53
University of Utah
Salt Lake City, United States
10 h-index
26 publications
3.4K citations
University of California, Davis
Davis, United States
5 h-index
14 publications
1K citations
Linköping University
Linköping, Sweden
3 h-index
8 publications
678 citations
TU Wien
Vienna, Austria
3 h-index
6 publications
508 citations
Computer Network Information Center
Beijing, China
2 h-index
7 publications
390 citations
University of Bergen
Bergen, Norway
2 h-index
2 publications
185 citations
Stony Brook University
Stony Brook, United States
2 h-index
5 publications
135 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
2 h-index
5 publications
345 citations
1–8 of 53
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 12 publications · 1.4K citations
12
h-index
- Computer Graphics Forum
6 publications · 319 citations
6
h-index
- Eurographics
Repository · 3 publications · 156 citations
3
h-index
- International Journal of Robust and Nonlinear Control
IJRCEA · 1 publications · 25 citations
1
h-index
- TUbilio (Technical University of Darmstadt)
Repository · 1 publications · 35 citations
1
h-index
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