ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing

Alexander Gall, Eduard Gröller, Christoph Heinzl

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

Abstract

An analysis of large multidimensional volumetric data as generated by non-destructive testing (NDT) techniques, e.g., X-ray computed tomography (XCT), can hardly be evaluated using standard 2D visualization techniques on desktop monitors. The analysis of fiber-reinforced polymers (FRPs) is currently a time-consuming and cognitively demanding task, as FRPs have a complex spatial structure, consisting of several hundred thousand fibers, each having more than twenty different extracted features. This paper presents ImNDT, a novel visualization system, which offers material experts an immersive exploration of multidimensional secondary data of FRPs. Our system is based on a virtual reality (VR) head-mounted device (HMD) to enable fluid and natural explorations through embodied navigation, the avoidance of menus, and manual mode switching. We developed immersive visualization and interaction methods tailored to the characterization of FRPs, such as a Model in Miniature, a similarity network, and a histo-book. An evaluation of our techniques with domain experts showed advantages in discovering structural patterns and similarities. Especially novices can strongly benefit from our intuitive representation and spatial rendering.
Original languageEnglish (American)
Title of host publicationProceedings - VRST 2021
Subtitle of host publication27th ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Number of pages11
ISBN (Electronic)9781450390927
ISBN (Print)9781450390927
DOIs
Publication statusPublished - 8 Dec 2021

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

Keywords

  • fibre-reinforced polymers
  • Multidimensional data visualization
  • interaction techniques
  • immersive analytics
  • virtual reality
  • Fibre-reinforced polymers
  • Virtual reality
  • Immersive analytics
  • Interaction techniques

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