地震模拟的沉浸式体积可视化:发明的技术和经验教训的案例研究

Prashant Chopra, Joerg Meyer, Antonio Fernandez
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引用次数: 16

摘要

本文记录了在创建可视化算法以呈现大规模地震模拟输出时所发明的技术、获得的结果和吸取的教训。目标是开发结构工程师、地震学家和计算机科学家之间共享的协作模拟和可视化技术。最近,计算机图形研究社区已经见证了大量的示范出版物,解决了在试图可视化大规模表面和体积数据集时所面临的挑战。从可视化的角度来看,数据预处理(简化、采样、滤波等);渲染算法(表面和体积)和交互范例(大规模、高度交互、高度沉浸式等)一直是研究领域。鉴于此,我们概述并描述了在大规模仿真和可视化项目中实现的里程碑,该项目为将现有技术与新方法相结合开辟了范围,特别是在没有现有方法适合的情况下。我们阐述了我们使用的数据简化和重组方案,并讨论了我们遇到的问题和我们找到的解决方案。我们描述了桌面(高端本地和远程)界面和我们开发的采用交互式表面和体绘制算法的沉浸式可视化系统。最后,我们描述了所获得的结果,仍然需要解决的挑战,以及正在进行的努力,以满足大规模可视化的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immersive volume visualization of seismic simulations: A case study of techniques invented and lessons learned
This paper is a documentation of techniques invented, results obtained and lessons learned while creating visualization algorithms to render outputs of large-scale seismic simulations. The objective is the development of techniques for a collaborative simulation and visualization shared between structural engineers, seismologists, and computer scientists. The computer graphics research community has been witnessing a large number of exemplary publications addressing the challenges faced while trying to visualize both large-scale surface and volumetric datasets lately. From a visualization perspective, issues like data preprocessing (simplification, sampling, filtering, etc.); rendering algorithms (surface and volume), and interaction paradigms (large-scale, highly interactive, highly immersive, etc.) have been areas of study. In this light, we outline and describe the milestones achieved in a large-scale simulation and visualization project, which opened the scope for combining existing techniques with new methods, especially in those cases where no existing methods were suitable. We elucidate the data simplification and reorganization schemes that we used, and discuss the problems we encountered and the solutions we found. We describe both desktop (high-end local as well as remote) interfaces and immersive visualization systems that we developed to employ interactive surface and volume rendering algorithms. Finally, we describe the results obtained, challenges that still need to be addressed, and ongoing efforts to meet the challenges of large-scale visualization.
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