当前位置: X-MOL 学术PeerJ Comput. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
4D street view: a video-based visualization method
PeerJ Computer Science ( IF 3.5 ) Pub Date : 2020-11-09 , DOI: 10.7717/peerj-cs.305
Akira Kageyama , Naohisa Sakamoto

We propose a new visualization method for massive supercomputer simulations. The key idea is to scatter multiple omnidirectional cameras to record the simulation via in situ visualization. After the simulations are complete, researchers can interactively explore the data collection of the recorded videos by navigating along a path in four-dimensional spacetime. We demonstrate the feasibility of this method by applying it to three different fluid and magnetohydrodynamics simulations using up to 1,000 omnidirectional cameras.

中文翻译:

4D街景:基于视频的可视化方法

我们为大型超级计算机仿真提出了一种新的可视化方法。关键思想是分散多个全向摄像机,以通过原位可视化记录模拟。模拟完成后,研究人员可以通过沿四维时空中的路径导航来交互式地探索记录的视频的数据收集。我们通过将这种方法应用于多达1,000个全向摄像机的三种不同的流体和磁流体动力学仿真中,证明了该方法的可行性。
更新日期:2020-11-09
down
wechat
bug