Alexander Gall, Eduard Gröller
, Christoph Heinzl
ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing
In Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology, pages 1-11. December 2021.
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Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: December 2021
- Publisher: ACM Press
- Open Access: yes
- Event: 27th ACM Symposium on Virtual Reality Software and Technology
- DOI: 10.1145/3489849.3489851
- Call for Papers: Call for Paper
- Booktitle: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology
- Pages: 11
- Pages: 1 – 11
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.Additional Files and Images
Weblinks
BibTeX
@inproceedings{Gall2021,
title = "ImNDT: Immersive Workspace for the Analysis of
Multidimensional Material Data From Non-Destructive Testing",
author = "Alexander Gall and Eduard Gr\"{o}ller and Christoph Heinzl",
year = "2021",
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.",
month = dec,
publisher = "ACM Press",
event = "27th ACM Symposium on Virtual Reality Software and
Technology",
doi = "10.1145/3489849.3489851",
booktitle = "Proceedings of the 27th ACM Symposium on Virtual Reality
Software and Technology",
pages = "11",
pages = "1--11",
URL = "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/",
}