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dc.contributor.authorOtto, Mathiasen_US
dc.contributor.authorGermer, Tobiasen_US
dc.contributor.authorHege, Hans-Christianen_US
dc.contributor.authorTheisel, Holgeren_US
dc.date.accessioned2015-02-23T16:40:30Z
dc.date.available2015-02-23T16:40:30Z
dc.date.issued2010en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2009.01604.xen_US
dc.description.abstractWe introduce an approach to visualize stationary 2D vector fields with global uncertainty obtained by considering the transport of local uncertainty in the flow. For this, we extend the concept of vector field topology to uncertain vector fields by considering the vector field as a density distribution function. By generalizing the concepts of stream lines and critical points we obtain a number of density fields representing an uncertain topological segmentation. Their visualization as height surfaces gives insight into both the flow behavior and its uncertainty. We present a Monte Carlo approach where we integrate probabilistic particle paths, which lead to the segmentation of topological features. Moreover, we extend our algorithms to detect saddle points and present efficient implementations. Finally, we apply our technique to a number of real and synthetic test data sets.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleUncertain 2D Vector Field Topologyen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume29en_US
dc.description.number2en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01604.xen_US
dc.identifier.pages347-356en_US


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