Immersive ExaBrick: Visualizing Large AMR Data in the CAVE
Zhaoyang Wang, Stefan Wesner, Stefan Zellmann

TL;DR
This paper presents a method for real-time, high-quality visualization of large adaptive mesh refinement data in virtual reality using the ExaBrick framework integrated with COVISE and GPU acceleration.
Contribution
It introduces a novel integration of ExaBrick with COVISE for immersive VR visualization of AMR data, enabling interactive exploration at high performance.
Findings
Real-time volume rendering of AMR data in VR is feasible.
GPU acceleration achieves high-quality interactive visualization.
Integration enhances user interaction and navigation in VR environments.
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.
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · 3D Shape Modeling and Analysis · Advanced Vision and Imaging
