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4D street view: a video-based visualization method

delete2020-11-09
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Akira Kageyama *
N
Naohisa Sakamoto
DOI:10.7717/peerj-cs.305delete
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Abstract

Abstract

En 中文
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.
Keywords:
Scientific visualization
High performance computing
Computer simulation
In situ visualization
Video-based visualization
Omnidirectional visualization
Multi-viewpoint visualization
Interactive exploration of video dataset
New method for visualization of supercomputer simulations
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

PeerJ Computer Science cover
PeerJ Computer Science
IF:
2.5
Papers:
3.4K
Citations:
6.9K

Organization

K
kobe university
Scholars:
1.6W
Papers: 1.2W
Citations: 8
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