論文

2020年

4D street view: a video-based visualization method.

PeerJ Comput. Sci.
  • Akira Kageyama
  • ,
  • Naohisa Sakamoto

6
開始ページ
e305
終了ページ
305
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.7717/peerj-cs.305
出版者・発行元
PEERJ INC

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.

リンク情報
DOI
https://doi.org/10.7717/peerj-cs.305
DBLP
https://dblp.uni-trier.de/rec/journals/peerj-cs/KageyamaS20
CiNii Research
https://cir.nii.ac.jp/crid/1050294045368932736?lang=ja
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000589779300001&DestApp=WOS_CPL
URL
https://dblp.uni-trier.de/db/journals/peerj-cs/peerj-cs6.html#KageyamaS20
ID情報
  • DOI : 10.7717/peerj-cs.305
  • eISSN : 2376-5992
  • DBLP ID : journals/peerj-cs/KageyamaS20
  • CiNii Articles ID : 120006919977
  • CiNii Research ID : 1050294045368932736
  • ORCIDのPut Code : 83111631
  • Web of Science ID : WOS:000589779300001

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