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Energy-scale Aware Feature Extraction for Flow Visualization

Pobitzer, Armin; Tutkun, Murat; Anreassen, Øyvind; Fuchs, Raphael; Peikert, Ronald; Hauser, Helwig
Peer reviewed, Journal article
Accepted version
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URI
https://hdl.handle.net/1956/5859
Date
2011
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  • Department of Informatics [540]
Original version
https://doi.org/10.1111/j.1467-8659.2011.01926.x
Abstract
In the visualization of flow simulation data, feature detectors often tend to result in overly rich response, making some sort of filtering or simplification necessary to convey meaningful images. In this paper we present an approach that builds upon a decomposition of the flow field according to dynamical importance of different scales of motion energy. Focusing on the high-energy scales leads to a reduction of the flow field while retaining the underlying physical process. The presented method acknowledges the intrinsic structures of the flow according to its energy and therefore allows to focus on the energetically most interesting aspects of the flow. Our analysis shows that this approach can be used for methods based on both local feature extraction and particle integration and we provide a discussion of the error caused by the approximation. Finally, we illustrate the use of the proposed approach for both a local and a global feature detector and in the context of numerical flow simulations.
Publisher
Blackwell Publishing Ltd.
Copyright
Copyright 2011 The Author(s). Journal compilation Copyright 2011 The Eurographics Association and Blackwell Publishing Ltd.

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