Immersive and Interactive 3D Visualization of Large -Scale Geo-Scientific Data

被引：1
|
作者：
Flatken, Markus [1 ]
Schneegans, Simon [2 ]
Fellegara, Riccardo [1 ]
Gerndt, Andreas [1 ,2 ]
机构：
[1] German Aerosp Ctr DLR, Bonn, Germany
[2] Univ Bremen, Bremen, Germany
来源：
2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW | 2023年
关键词：
Computing methodologies; Modeling and simulation Simulation types and techniques Scientific visualization; Human-centered computing; Human computer interaction (HCI); Interaction paradigms; Virtual reality;
D O I：
10.1109/VRW58643.2023.00052
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a software architecture and framework developed over the past decade to enable scalable and highly interactive visualizations for large datasets and display sizes. The framework integrates distributed data processing, data streaming, and dynamic scheduling to allow for view-dependent feature extraction and progressive data streaming. Additionally, the framework has been designed to support visualizations from local desktop workstations to large multi-display virtual environments.
引用
收藏
页码：211 / 215
页数：5
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