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Raphael Fuchs, Ronny Peikert, Filip Sadlo
A lot of work has
been done in the field of feature
extraction from steady/time-independent flow data, especially
focusing on vortices. In the context of time-dependent flow,
previous work focussed on extracting features from
individual time steps by interpreting the flow data as a
“stack” of steady flow fields (one per time step) and by
applying extraction methods for steady flow data accordingly.
The time-dependent nature of these features was
taken into account by connecting them afterwards over
time, for example, by tracking
In this project, we investigate ways how to inherently consider time
already during
feature extraction and not separately in a second step. Based on proven
methods such as the vortex core line detector by Sujudi
and Haimes,
we
look for adaptations for time-dependent velocity fields. Such
adaptations must have the property that in the special case of a steady
or instantaneous field the results are as obtained by the original
method.
- R. Fuchs, R. Peikert, H. Hauser, F. Sadlo, P. Muigg, Parallel Vectors Criteria for Unsteady Flow Vortices, IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 3, 2008, pp. 615-626
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