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Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization

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Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the entire multi-field volume data rather than concentrating on one variable. We present a visualization approach based on surface extraction from multi-field particle volume data. The surfaces segment the data with respect to the underlying multi-variate function. Decisions on segmentation properties are based on the analysis of the multi-dimensional feature space. The feature space exploration is performed by an automated multi-dimensional hierarchical clustering method, whose resulting density clusters are shown in the form of density level sets in a 3D star coordinate layout. In the star coordinate layout, the user can select clusters of interest. A selected cluster in feature space corresponds to a segmenting surface in object space. Based on the segmentation property induced by the cluster membership, we extrac...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste
Added 03 Nov 2009
Updated 04 Nov 2009
Type Conference
Year 2008
Where VIS
Authors Lars Linsen, Tran Van Long, Paul Rosenthal, Stephan Rosswog
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