Interactive cross-detector analysis of vortical flow data

Bürger, Raphael; Muigg, P.; Doleisch, Helmut; Hauser, Helwig

doi:10.1109/cmv.2007.12

Cited by 3 publications

(3 citation statements)

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“…Bürger et al [BMDH07] compute several local feature detectors of the same flow and use IVA to compare them. In addition, other flow attributes (such as pressure, …) are taken into account as well.…”

Section: Stochastic and Multifield Approachesmentioning

confidence: 99%

“…In the following, however, we will focus on engineering and scientific applications. Bürger et al [BMDH07] compute several local feature detectors of the same flow and use IVA to compare them. In addition, other flow attributes (such as pressure, .…”

Section: Interactive Visual Analysismentioning

confidence: 99%

“…Because dealing with multiple feature specifications at once can be interpreted as dealing with multivariate data, the use of interactive visual analysis (IVA) has been suggested [BMDH07]. The idea is to combine several feature detectors to investigate combinations of them.…”

Section: Introductionmentioning

confidence: 99%

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The State of the Art in Topology‐Based Visualization of Unsteady Flow

Pobitzer

Peikert

Fuchs

et al. 2011

Computer Graphics Forum

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V ector fields are a common concept for the representation of many different kinds of flow phenomena in science and engineering. Methods based on vector field topology are known for their convenience for visualizing and analyzing steady flows, but a counterpart for unsteady flows is still missing. However, a lot of good and relevant work aiming at such a solution is available. We give an overview of previous research leading towards topologybased and topology-inspired visualization of unsteady flow, pointing out the different approaches and methodologies involved as well as their relation to each other, taking classical (i.e., steady) vector field topology as our starting point. Particularly, we focus on Lagrangian methods, space-time domain approaches, local methods, and stochastic and multi-field approaches. Furthermore, we illustrate our review with practical examples for the different approaches.

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Section: Stochastic and Multifield Approachesmentioning

confidence: 99%

Section: Interactive Visual Analysismentioning

confidence: 99%

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The State of the Art in Topology‐Based Visualization of Unsteady Flow

Pobitzer

Peikert

Fuchs

et al. 2011

Computer Graphics Forum

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Filtering of FTLE for Visualizing Spatial Separation in Unsteady 3D Flow

Pobitzer

Peikert

Fuchs

et al. 2011

Mathematics and Visualization

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I n many cases, feature detection for flow visualization is structured in two phases: first candidate identification, and then filtering. With this paper, we propose to use the directional information contained in the finite-time Lyapunov exponents (FTLE) computation, in order to filter the FTLE field. In this way we focus on those separation structures that delineate flow compartments which develop into different spatial locations, as compared to those that separate parallel flows of different speed. We provide a discussion of the underlying theory and our related considerations. We derive a new filtering scheme and demonstrate its effect in the context of several selected fluid flow cases, especially in comparison with unfiltered FTLE visualization. Since previous work has provided insight with respect to the studied flow patterns, we are able to provide a discussion of the resulting visible separation structures.

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