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dc.contributor.authorKipfer, Peteren_US
dc.contributor.authorReck, Franken_US
dc.contributor.authorGreiner, Guntheren_US
dc.date.accessioned2015-02-16T07:31:54Z
dc.date.available2015-02-16T07:31:54Z
dc.date.issued2003en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/1467-8659.00655en_US
dc.description.abstractFor analyzing and interpreting results of flow simulations, particle tracing is a well established visualization method. In addition, it is a preliminary step for more advanced techniques such as line integral convolution. For interactive exploration of large data sets, a very efficient and reliable particle tracing method is needed. For wind channel experiments or flight simulations, large unstructured computational grids have become common practice. Traditional approachs, based on numerical integration methods of ordinary differential equations however fail to deliver sufficiently accurate path calculation at the speed required for interactive use. In this paper we extend the local exact approach of Nielson and Jung in such a way that it can be used for interactive particle tracing in large data sets of steady flow simulation experiments. This will be achieved by sophisticated preprocessing using additional memory. For further visual enhancement of the streamline we construct an implicitly defined smooth Bezier curve that is used for ray tracing. This allows us to visualize additional scalar values of the simulation as attributes to the trajectory and enables the display of high-quality smooth curves without creating any visualization geometry and providing a good impression of the spatial situation at the same time.ACM CSS: I.3.3 Computer Graphics-Line and curve generation; I .3.7 Computer Graphics-Raytracing; G.1.2 Numerical Analysis-Spline and piecewise polynomial approximationen_US
dc.publisherBlackwell Publishers, Inc and the Eurographics Associationen_US
dc.titleLocal Exact Particle Tracing on Unstructured Gridsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume22en_US
dc.description.number2en_US
dc.identifier.doi10.1111/1467-8659.00655en_US
dc.identifier.pages133-142en_US


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