4D street view: a video-based visualization method

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 v...

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Detalles Bibliográficos
Autores principales: Kageyama, Akira, Sakamoto, Naohisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Scientific Computing and Simulation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924531/
https://www.ncbi.nlm.nih.gov/pubmed/33816956
http://dx.doi.org/10.7717/peerj-cs.305
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author Kageyama, Akira
Sakamoto, Naohisa
author_facet Kageyama, Akira
Sakamoto, Naohisa
author_sort Kageyama, Akira
collection PubMed
description 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.
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spelling pubmed-79245312021-04-02 4D street view: a video-based visualization method Kageyama, Akira Sakamoto, Naohisa PeerJ Comput Sci Scientific Computing and Simulation 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. PeerJ Inc. 2020-11-09 /pmc/articles/PMC7924531/ /pubmed/33816956 http://dx.doi.org/10.7717/peerj-cs.305 Text en © 2020 Kageyama and Sakamoto https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Scientific Computing and Simulation
Kageyama, Akira
Sakamoto, Naohisa
4D street view: a video-based visualization method
title 4D street view: a video-based visualization method
title_full 4D street view: a video-based visualization method
title_fullStr 4D street view: a video-based visualization method
title_full_unstemmed 4D street view: a video-based visualization method
title_short 4D street view: a video-based visualization method
title_sort 4d street view: a video-based visualization method
topic Scientific Computing and Simulation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924531/
https://www.ncbi.nlm.nih.gov/pubmed/33816956
http://dx.doi.org/10.7717/peerj-cs.305
work_keys_str_mv AT kageyamaakira 4dstreetviewavideobasedvisualizationmethod
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