Massive Data Visualization Techniques for use in Virtual Reality Devices

被引：0
|
作者：
Ortiz, Jason A. [1 ,2 ]
Insley, Joseph A. [1 ,3 ]
Knowles, Janet [1 ]
Mateevitsi, Victor A. [1 ]
Papka, Michael E. [1 ,3 ]
Rizzi, Silvio [1 ]
机构：
[1] Argonne Natl Lab, Argonne, IL 60439 USA
[2] Univ Cent Florida, Orlando, FL 32816 USA
[3] Northern Illinois Univ, De Kalb, IL 60115 USA
来源：
2022 IEEE 12TH SYMPOSIUM ON LARGE DATA ANALYSIS AND VISUALIZATION (LDAV 2022) | 2022年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Scientific simulations executed on supercomputers produce massive amounts of data. Visualizing this data is essential to discovery and dissemination, but methods for transforming and displaying such large data visualizations for use in Extended Reality (XR) devices are not commonly supported. We investigated the viability of existing XR applications (i.e., ParaView VR, SummitVR, and Omniverse XR) to display large data visualizations. Our investigations led us to create a proof-of-concept Virtual Reality (VR) application with Unity using Universal Scene Description (USD) files exported from Houdini to display and interact with large time-varying scientific data visualizations. We present our investigations as a basis for future work to display and interact with scientific data visualizations in XR.
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页码：46 / 47
页数：2
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