Poisson-based tools for flow visualization

This paper applies Poisson-based methods to assist in interactive exploration of steady flow fields. Using data-driven deformations we obtain flow-orthogonal and flow-tangential surfaces by a flux-based optimization. Surfaces are positioned interactively and deformed in real-time according to local...

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Vydáno v:2013 IEEE Pacific Visualization Symposium (PacificVis) s. 241 - 248
Hlavní autoři: Martinez Esturo, Janick, Schulze, Maik, Ross, Christian, Theisel, Holger
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.02.2013
Témata:
Computer Graphics [I.3.5]: Computational Geometry and Object Modeling-Geometric algorithms
Data visualization
Heating
Optimization
Sparse matrices
Surface reconstruction
Vectors
ISSN:2165-8765
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Shrnutí:This paper applies Poisson-based methods to assist in interactive exploration of steady flow fields. Using data-driven deformations we obtain flow-orthogonal and flow-tangential surfaces by a flux-based optimization. Surfaces are positioned interactively and deformed in real-time according to local flow. The deformed surfaces are particularly useful for defining seed structures. We show how the same gradient-based computational framework can be applied to obtain parametrizations of flow-aligned surfaces. This way it is easy to define nontrivial seed structures for integration-based flow visualization methods. Additionally, the flow-aligned parametrizations are employed for view-independent surface-based LIC visualizations. We apply our method to a number of data sets to show the effectiveness of our deformations and parametrization-based seed extraction methods for interactive flow exploration.
ISSN:2165-8765
DOI:10.1109/PacificVis.2013.6596151