4.6 Article

4D street view: a video-based visualization method

期刊

PEERJ COMPUTER SCIENCE
卷 -, 期 -, 页码 -

出版社

PEERJ INC
DOI: 10.7717/peerj-cs.305

关键词

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

资金

  1. KAKENHI [16K12434, 17H02998]
  2. SCAT (Support Center for Advanced Telecommunications Technology Research) Foundation
  3. I-O Data Foundation
  4. Tateishi Science and Technology Foundation
  5. Grants-in-Aid for Scientific Research [16K12434, 17H02998] Funding Source: KAKEN

向作者/读者索取更多资源

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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