Universität zu Köln

Wang, Zhaoyang ORCID: 0009-0007-8606-6826, Wesner, Stefan ORCID: 0000-0002-7270-7959 and Zellmann, Stefan ORCID: 0000-0003-2880-9090 (2023). Immersive ExaBrick: Visualizing Large AMR Data in the CAVE. Technical Report.

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Abstract

Rendering large adaptive mesh refinement (AMR) data in real-time in virtual reality (VR) environments is a complex challenge that demands sophisticated techniques and tools. The proposed solution harnesses the ExaBrick framework and integrates it as a plugin in COVISE, a robust visualization system equipped with the VR-centric OpenCOVER render module. This setup enables direct navigation and interaction within the rendered volume in a VR environment. The user interface incorporates rendering options and functions, ensuring a smooth and interactive experience. We show that high-quality volume rendering of AMR data in VR environments at interactive rates is possible using GPUs.

Item Type:	Monograph (Technical Report)
Creators:	Creators Email ORCID ORCID Put Code Wang, Zhaoyang zwang4@smail.uni-koeln.de https://orcid.org/0009-0007-8606-6826 UNSPECIFIED Wesner, Stefan wesner@uni-koeln.de https://orcid.org/0000-0002-7270-7959 UNSPECIFIED Zellmann, Stefan zellmann@uni-koeln.de https://orcid.org/0000-0003-2880-9090 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-711746
Series Name at the University of Cologne:	Technical report series. Center for Data and Simulation Science
Volume:	2023-01
Number of Pages:	9
Date:	4 October 2023
Language:	English
Faculty:	Central Institutions / Interdisciplinary Research Centers
Divisions:	Center for Data and Simulation Science
Subjects:	Data processing Computer science Technology (Applied sciences)
Uncontrolled Keywords:	Keywords Language scientific visualization English adaptive mesh refinement English real-time ray tracing English virtual reality English
Refereed:	No
URI:	http://kups.ub.uni-koeln.de/id/eprint/71174