Browsing by Author "Sadlo, Filip"

Now showing 1 - 4 of 4
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    EuroVis 2019 Short Papers: Frontmatter
    (The Eurographics Association, 2019) Johansson, Jimmy; Sadlo, Filip; Marai, G. Elisabeta; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
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    Extraction of Distinguished Hyperbolic Trajectories for 2D Time-Dependent Vector Field Topology
    (The Eurographics Association and John Wiley & Sons Ltd., 2020) Hofmann, Lutz; Sadlo, Filip; Viola, Ivan and Gleicher, Michael and Landesberger von Antburg, Tatiana
    This paper does two main contributions to 2D time-dependent vector field topology. First, we present a technique for robust, accurate, and efficient extraction of distinguished hyperbolic trajectories (DHT), the generative structures of 2D time-dependent vector field topology. It is based on refinement of initial candidate curves. In contrast to previous approaches, it is robust because the refinement converges for reasonably close initial candidates, it is accurate due to its adaptive scheme, and it is efficient due to its high convergence speed. Second, we provide a detailed evaluation and discussion of previous approaches for the extraction of DHTs and time-dependent vector field topology in general. We demonstrate the utility of our approach using analytical flows, as well as data from computational fluid dynamics.
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    Frontmatter: VMV 2018: Vision, Modeling, and Visualization
    (The Eurographics Association, 2018) Beck, Fabian; Dachsbacher, Carsten; Sadlo, Filip; Beck, Fabian and Dachsbacher, Carsten and Sadlo, Filip
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    Visual Analysis of the Finite-Time Lyapunov Exponent
    (The Eurographics Association and John Wiley & Sons Ltd., 2020) Sagristà, Antoni; Jordan, Stefan; Sadlo, Filip; Viola, Ivan and Gleicher, Michael and Landesberger von Antburg, Tatiana
    In this paper, we present an integrated visual analytics approach to support the parametrization and exploration of flow visualization based on the finite-time Lyapunov exponent. Such visualization of time-dependent flow faces various challenges, including the choice of appropriate advection times, temporal regions of interest, and spatial resolution. Our approach eases these challenges by providing the user with context by means of parametric aggregations, with support and guidance for a more directed exploration, and with a set of derived measures for better qualitative assessment. We demonstrate the utility of our approach with examples from computation fluid dynamics and time-dependent dynamical systems.