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Hierarchical Splatting of Scattered 4D Data
July/August 2004 (vol. 24 no. 4)
pp. 64-72
Matthias Hopf, University of Stuttgart, Germany
Michael Luttenberger, University of Stuttgart, Germany
Thomas Ertl, University of Stuttgart, Germany
Visualizing large uncorrelated point data sets with regular volume rendering produces unsatisfying results due to low spatial resolution. For time-dependent data, available main memory can be a limiting factor as well. To deal with these large time-varying data sets, a hierarchical representation is created and quantized relative coordinates are stored. During rendering the compressed data is accessed out of core, and particle positions are interpolated using B-splines. Traversing the hierarchical structure for each frame can trade-off rendering speed for image quality, achieving interactive rates for data sets with millions of points.

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Index Terms:
volume rendering, scattered data, splatting, hierarchical visualization, time-dependent data, out-of-core techniques
Citation:
Matthias Hopf, Michael Luttenberger, Thomas Ertl, "Hierarchical Splatting of Scattered 4D Data," IEEE Computer Graphics and Applications, vol. 24, no. 4, pp. 64-72, July-Aug. 2004, doi:10.1109/MCG.2004.7
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