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State of the Art in Transfer Functions for Direct Volume Rendering
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-9288-5322
University of Duisburg Essen, Germany; University of Utah, UT 84112 USA.
TU Wien, Austria; University of Bergen, Norway.
King Abdullah University of Science and Technology, Saudi Arabia.
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2016 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 35, no 3, 669-691 p.Article in journal (Refereed) PublishedText
Abstract [en]

A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances. TFs also enable interactive volumetric exploration of complex data. The purpose of this state-of-the-art report (STAR) is to provide an overview of research into the various aspects of TFs, which lead to interpretation of the underlying data through the use of meaningful visual representations. The STAR classifies TF research into the following aspects: dimensionality, derived attributes, aggregated attributes, rendering aspects, automation, and user interfaces. The STAR concludes with some interesting research challenges that form the basis of an agenda for the development of next generation TF tools and methodologies.

Place, publisher, year, edition, pages
WILEY-BLACKWELL , 2016. Vol. 35, no 3, 669-691 p.
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-130665DOI: 10.1111/cgf.12934ISI: 000379912300060OAI: oai:DiVA.org:liu-130665DiVA: diva2:954156
Conference
18th Eurographics/IEEE VGTC Conference on Visualization
Available from: 2016-08-20 Created: 2016-08-19 Last updated: 2016-08-20

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Ljung, PatricYnnerman, Anders
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Media and Information TechnologyFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)
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