Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Extracting iso-valued features in 4-dimensional scalar fields
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Tracking and Visualizing Turbulent 3D Features
IEEE Transactions on Visualization and Computer Graphics
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
A real-time cloud modeling, rendering, and animation system
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Realistic and fast cloud rendering in computer games
ACM SIGGRAPH 2003 Sketches & Applications
Visually Accurate Multi-Field Weather Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
A reprocessing tool for quantitative data analysis in a virtual environment
Proceedings of the ACM symposium on Virtual reality software and technology
Hybrid interfaces in VEs: intent and interaction
EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments
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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 features for further study. We couch the discussion in terms of our collaborative research on using virtual reality for cumulus cloud life-cycle studies, where selecting suitable clouds for study is simple for the skilled observer but difficult to formalize. The preprocessing involves identifying individual clouds within the data set through a 4D connected components algorithm, and then saving isosurface, bounding box, and volume information. This information is then interactively visualized in our VR Cloud Explorer with various tools and information displays to identify the most interesting clouds. In a small pilot study, reasonable performance, both in the preprocessing phase and the visualization phase, has been measured.