Transfer Function Optimization
Transfer Function Optimization is a computational methodology within scientific volume visualization that systematically refines the mapping of data values to optical properties—such as color and opacity—to enhance the visual representation of volumetric features through targeted improvements in perception, specificity, or task-driven criteria.
26
Publications
1.2K
Citations
74
Authors
30
Institutions
Publications per year
2017–2026
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Generation of Transfer Functions with Stochastic Search Techniques
1996 · 182 citations
Generation of transfer functions with stochastic search techniques
Lichan Hong, A. Kaufman, H. Pfister · 1996 · 99 citations · Full text
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University of Bergen
Bergen, Norway
2 h-index
3 publications
556 citations
National University of Singapore
Singapore, Singapore
2 h-index
9 publications
236 citations

Universitat de Girona
Girona, Spain
2 h-index
11 publications
400 citations

Weizmann Institute of Science
Rehovot, Israel
1 h-index
1 publications
88 citations
Computer Network Information Center
Beijing, China
1 h-index
3 publications
66 citations
University of Colorado Boulder
Boulder, United States
1 h-index
1 publications
88 citations
Pearson (United Kingdom)
London, United Kingdom
1 h-index
1 publications
250 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
1 h-index
1 publications
22 citations
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TVCG · 2 publications · 109 citations
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2 publications · 23 citations
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1 publications · 14 citations
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1 publications · 12 citations
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1 publications · 39 citations
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