The design and analysis of spatial data structures
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IEEE Computer Graphics and Applications
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Interval Set: A Volume Rendering Technique Generalizing Isosurface Extraction
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Iconic Techniques for Feature Visualization
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Feature based volumetric video compression for interactive playback
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VG '03 Proceedings of the 2003 Eurographics/IEEE TVCG Workshop on Volume graphics
Comparative Flow Visualization
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PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
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Rule-based visualization in the Discover computational steering collaboratory
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Efficient isosurface tracking using precomputed correspondence table
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Simultaneous classification of time-varying volume data based on the time histogram
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Visualization and analysis of 3D time-varying simulations with time lines
Journal of Visual Languages and Computing
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Visualizing 3D time-varying fluid datasets is difficult because of the immense amount of data to be processed and understood. These datasets contain many evolving amorphous regions, and it is difficult to observe patterns and visually follow regions of interest. In this paper, we present a technique which isolates and tracks full volume representations of regions of interest from 3D regular and curvilinear Computational Fluid Dynamics datasets. Connected voxel regions, "features," are extracted from each time step and matched to features in subsequent time steps. Spatial overlap is used to determine matching. The features from each time step are stored in octree forests to speed the matching process. Once features are identified and tracked, properties of the features and their evolutionary history can be computed. This information can be used to enhance isosurface visualization and volume rendering by color coding individual regions. We demonstrate the algorithm on four 3D time-varying simulations from ongoing research in Computational Fluid Dynamics and show how tracking can significantly improve and facilitate the processing of massive datasets.