State of the Art in Transfer Functions for Direct Volume Rendering

Patric Ljung, Jens Krüger, Eduard Groller, Markus Hadwiger, Charles D. Hansen, Anders Ynnerman

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

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. © 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
Original languageEnglish (US)
Pages (from-to)669-691
Number of pages23
JournalComputer Graphics Forum
Volume35
Issue number3
DOIs
StatePublished - Jul 4 2016

Fingerprint

Dive into the research topics of 'State of the Art in Transfer Functions for Direct Volume Rendering'. Together they form a unique fingerprint.

Cite this