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Multi–Modal High–End Visualization System

Published: 14 November 2019 Publication History

Abstract

This paper describes a production-grade software toolkit used for shared multi-model visualization systems developed by the Expanded Perception and Interaction Centre. Our High-End Visualization System (HEVS) can be used as a framework to enable content to be run transparently on a wider range of platforms (Figure 2) with fewer compatibility issues and dependencies on commercial software. Content can be transferred more easily from large screens (including cluster-driven systems) such as CAVE-like platforms, hemispherical domes, and projected cylindrical displays through to multi-wall displays and HMDs such as VRR or AR. This common framework is able to provide a unifying approach to visual analytics and visualizations. In addition to supporting multi-modal displays, multiple platforms can be connected to create multi-user collaborative experiences across remotely located labs. We aim to demonstrate multiple projects developed with HEVS that have been deployed to various multi-modal display devices.

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References

[1]
Tomasz Bednarz, Craig James, Eleonora Widzyk-Capehart, Con Caris, and Leila Alem. 2015. Distributed Collaborative Immersive Virtual Reality Framework for the Mining Industry. In Machine Vision and Mechatronics in Practice, J Billingsley and P Brett (Eds.). Springer, Berlin, Heidelberg, 39–48.
[2]
Daniel Filonik, Dominic Branchaud, Robert Lawther, Piotr Szul, Alex Collins, and Tomasz Bednarz. 2018. Massive Networks – Visualising very large-scale graphs in immersive environments. In High Performance Graphics, 2018.
[3]
Craig James, Kerstin Haustein, Tomasz Bednarz, Leila Alem, Con Caris, and Andrew Castleden. 2011. Remote Operation of Mining Equipment Using Panoramic Display Systems: Exploring the Sense of Presence. The Ergonomics Open Journal 4 (2011), 93–102. https://doi.org/10.2174/1875934301104010093
[4]
Pol Jeremias and Inigo Quilez. 2013. Shadertoy: Live Coding for Reactive Shaders. In ACM SIGGRAPH 2013 Computer Animation Festival(SIGGRAPH ’13). ACM, New York, NY, USA, 1–1. https://doi.org/10.1145/2503541.2503644
[5]
Iñigo Quilez. [n.d.]. Shadertoy BETA. https://www.shadertoy.com/.

Cited By

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  • (2021)Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and TrendsFrontiers in Artificial Intelligence10.3389/frai.2021.6042344Online publication date: 28-Apr-2021
  • (2021)Joint Augmented Reality Video Analytics and Artificial Intelligence SupervisionSIGGRAPH Asia 2021 Posters10.1145/3476124.3488652(1-2)Online publication date: 14-Dec-2021
  • (2020)Creating 3D worlds through storytelling and narrationProceedings of the 32nd Australian Conference on Human-Computer Interaction10.1145/3441000.3441028(677-681)Online publication date: 2-Dec-2020

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cover image ACM Conferences
VRCAI '19: Proceedings of the 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
November 2019
354 pages
ISBN:9781450370028
DOI:10.1145/3359997
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2019

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Author Tags

  1. Augmented Reality
  2. High-Performance Graphics
  3. Virtual Reality
  4. Visual Analytics
  5. Visualization

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VRCAI '19
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Overall Acceptance Rate 51 of 107 submissions, 48%

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Cited By

View all
  • (2021)Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and TrendsFrontiers in Artificial Intelligence10.3389/frai.2021.6042344Online publication date: 28-Apr-2021
  • (2021)Joint Augmented Reality Video Analytics and Artificial Intelligence SupervisionSIGGRAPH Asia 2021 Posters10.1145/3476124.3488652(1-2)Online publication date: 14-Dec-2021
  • (2020)Creating 3D worlds through storytelling and narrationProceedings of the 32nd Australian Conference on Human-Computer Interaction10.1145/3441000.3441028(677-681)Online publication date: 2-Dec-2020
  • (2020)Digital Twin of the Australian Square Kilometre Array (ASKAP)SIGGRAPH Asia 2020 Posters10.1145/3415264.3425462(1-2)Online publication date: 4-Dec-2020
  • (2020)Visually Impaired User Experience using a 3D-Enhanced Facility Management System for Indoors NavigationCompanion Publication of the 2020 International Conference on Multimodal Interaction10.1145/3395035.3425247(92-96)Online publication date: 25-Oct-2020
  • (2020)Double Vision: Digital Twin applications within Extended RealityACM SIGGRAPH 2020 Appy Hour10.1145/3388529.3407313(1-2)Online publication date: 17-Aug-2020
  • (2020)User Experience in Collaborative Extended Reality: Overview StudyVirtual Reality and Augmented Reality10.1007/978-3-030-62655-6_3(41-70)Online publication date: 25-Nov-2020

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