Peter Rautek, Stefan BrucknerORCID iD, Eduard GröllerORCID iD
Semantic Layers for Illustrative Volume Rendering
IEEE Transactions on Visualization and Computer Graphics, 13(6):1336-1343, October 2007. [paper]

Information

  • Publication Type: Journal Paper with Conference Talk
  • Workgroup(s)/Project(s):
  • Date: October 2007
  • Journal: IEEE Transactions on Visualization and Computer Graphics
  • Volume: 13
  • Number: 6
  • Note: to be presented at IEEE Visualization 2007
  • Location: Sacramento, California, USA
  • Lecturer: Peter Rautek
  • Event: IEEE Visualization 2007
  • Conference date: 28. October 2007 – 1. November 2007
  • Pages: 1336 – 1343
  • Keywords: Illustrative Visualization, Volume Visualization, Focus+Context Techniques

Abstract

Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. The specification of transfer functions is a complex task and requires expert knowledge about the underlying rendering technique. In the case of multiple volumetric attributes and multiple visual styles the specification of the multi-dimensional transfer function becomes more challenging and non-intuitive. We present a novel methodology for the specification of a mapping from several volumetric attributes to multiple illustrative visual styles. We introduce semantic layers that allow a domain expert to specify the mapping in the natural language of the domain. A semantic layer defines the mapping of volumetric attributes to one visual style. Volumetric attributes and visual styles are represented as fuzzy sets. The mapping is specified by rules that are evaluated with fuzzy logic arithmetics. The user specifies the fuzzy sets and the rules without special knowledge about the underlying rendering technique. Semantic layers allow for a linguistic specification of the mapping from attributes to visual styles replacing the traditional transfer function specification.

Additional Files and Images

Additional images and videos

Additional files

Weblinks

No further information available.

BibTeX

@article{Rautek-2007-SLI,
  title =      "Semantic Layers for Illustrative Volume Rendering",
  author =     "Peter Rautek and Stefan Bruckner and Eduard Gr\"{o}ller",
  year =       "2007",
  abstract =   "Direct volume rendering techniques map volumetric attributes
               (e.g., density, gradient magnitude, etc.) to visual styles.
               Commonly this mapping is specified by a transfer function.
               The specification of transfer functions is a complex task
               and requires expert knowledge about the underlying rendering
               technique. In the case of multiple volumetric attributes and
               multiple visual styles the specification of the
               multi-dimensional transfer function becomes more challenging
               and non-intuitive. We present a novel methodology for the
               specification of a mapping from several volumetric
               attributes to multiple illustrative visual styles.  We
               introduce semantic layers that allow a domain expert to
               specify the mapping in the natural language of the domain. 
               A semantic layer defines the mapping of volumetric
               attributes to one visual style.  Volumetric attributes and
               visual styles are represented as fuzzy sets. The mapping is
               specified by rules that are evaluated with fuzzy logic
               arithmetics. The user specifies the fuzzy sets and the rules
               without special knowledge about the underlying rendering
               technique. Semantic layers allow for a linguistic
               specification of the mapping from attributes to visual
               styles replacing the traditional transfer function
               specification.",
  month =      oct,
  journal =    "IEEE Transactions on Visualization and Computer Graphics",
  volume =     "13",
  number =     "6",
  note =       "to be presented at IEEE Visualization 2007",
  pages =      "1336--1343",
  keywords =   "Illustrative Visualization, Volume Visualization,
               Focus+Context Techniques",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/",
}