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    Energy-scale Aware Feature Extraction for Flow Visualization

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    844715.pdf (2.292Mb)
    Date
    2011
    Author
    Pobitzer, Armin
    Tutkun, Murat
    Andreassen, Øyvind
    Fuchs, R
    Peikert, Ronald
    Hauser, Helwig
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    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.
    URI
    http://hdl.handle.net/20.500.12242/753
    https://ffi-publikasjoner.archive.knowledgearc.net/handle/20.500.12242/753
    DOI
    10.1111/j.1467-8659.2011.01926.x
    Description
    Pobitzer, Armin; Tutkun, Murat; Andreassen, Øyvind; Fuchs, R; Peikert, Ronald; Hauser, Helwig. Energy-scale Aware Feature Extraction for Flow Visualization. Computer graphics forum (Print) 2011 ;Volum 30.(3) s. 771-780
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