Features
Parallel Isosurface Extraction with Integrated Polygon Simplification
The innovative idea of the close integration of two well-known methods – on one hand the marching cubes (MC) algorithm to generate polygonal isosurfaces of scalar fields, on the other hand vertex clustering to simplify the polygon complexity – was implemented and evaluated. With regard to parallel scaling as well as data reduction factors this approach is successful. An approach for adaptive reduction leads to a further quality improvement.
Parallel Pathline Extraction with Property-Based, Interactive Post-Filtering
Parallel library functions for efficient flow visualization were developed. By interleaving the resulting data stream that originally mapped the lines as 3D graphics with properties of spatially and temporally associated raw data, an innovative approach was realized. It supports batch computing scenarios through automatic data extraction at the back-end, and explorative visualization scenarios by integrating interactive post-filtering at the front-end.