T. Heus

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Feature tracking in large data sets is traditionally an off-line, batch processing operation while virtual reality typically focuses on highly interactive tasks and applications. This paper presents an approach that uses a combination of off-line preprocessing and interactive visualization in VR to simplify and speed up the identification of interesting(More)
This paper presents an approach to help speed up and unify the exploration and analysis of time-dependent, volumetric data sets by easily incorporating new qualitative and quantitative information into an exploratory virtual environment (VE). The new information is incorporated through one or more expedited offline "reprocessing" steps, which compute(More)
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