Stefan BrucknerORCID iD
Visual Exploration and Analysis of Volumetric Data
Duration: 2008 — 2012
[Habilitation Thesis (Screen Version)]

Information

  • Publication Type: Habilitation Thesis
  • Workgroup(s)/Project(s):
  • Date: April 2012
  • Date (Start): 2008
  • Date (End): 2012
  • Keywords: visual analysis, visual exploration, volume data

Abstract

Information technology has led to a rapid increase in the amount of data that arise in areas such as biology, medicine, climate science, and engineering. In many cases, these data are volumetric in nature, i.e., they describe the distribution of one or several quantities over a region in space. Volume visualization is the field of research which investigates the transformation of such data sets into images for purposes such as understanding structure or identifying features. This thesis presents work to aid this process by improving the interactive depiction, analysis, and exploration of volumetric data.

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Additional files

Habilitation Thesis (Print Version): High-resolution version of the habilitation thesis for printing Habilitation Thesis (Print Version): High-resolution version of the habilitation thesis for printing
Habilitation Thesis (Screen Version): Low-resolution version of the habilitation thesis for screen viewing Habilitation Thesis (Screen Version): Low-resolution version of the habilitation thesis for screen viewing
Supplement (Print Version): High-resolution version of the collection of selected additional scientific contributions Supplement (Print Version): High-resolution version of the collection of selected additional scientific contributions
Supplement (Screen Version): Low-resolution version of the collection of selected additional scientific contributions Supplement (Screen Version): Low-resolution version of the collection of selected additional scientific contributions

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BibTeX

@habilthesis{Bruckner-2012-VEA,
  title =      "Visual Exploration and Analysis of Volumetric Data",
  author =     "Stefan Bruckner",
  year =       "2012",
  abstract =   "Information technology has led to a rapid increase in the
               amount of data that arise in areas such as biology,
               medicine, climate science, and engineering. In many cases,
               these data are volumetric in nature, i.e., they describe the
               distribution of one or several quantities over a region in
               space. Volume visualization is the field of research which
               investigates the transformation of such data sets into
               images for purposes such as understanding structure or
               identifying features. This thesis presents work to aid this
               process by improving the interactive depiction, analysis,
               and exploration of volumetric data.",
  month =      apr,
  keywords =   "visual analysis, visual exploration, volume data",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/",
}