State of the Art in Transfer Functions for Direct Volume Rendering

Information

• Publication Type: Journal Paper with Conference Talk
• Workgroup(s)/Project(s): not specified
• Date: 2016
• Journal: Computer Graphics Forum (2016)
• Volume: 35
• Number: 3
• Location:
• Event: EuroVisSTAR2016
• Pages: 669 – 691

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.

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BibTeX

@article{Groeller_2016_P3,
  title =      "State of the Art in Transfer Functions for Direct Volume
               Rendering",
  author =     "P. Ljung and J. Kr\"{u}ger and Eduard Gr\"{o}ller and Markus
               Hadwiger and C. Hansen and Anders Ynnerman",
  year =       "2016",
  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.",
  journal =    "Computer Graphics Forum (2016)",
  volume =     "35",
  number =     "3",
  pages =      "669--691",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/",
}