VMV19

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https://diglib.eg.org/handle/10.2312/2632811

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Browsing VMV19 by Subject "Human centered computing"

Now showing 1 - 3 of 3
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    RodMesh: Two-handed 3D Surface Modeling in Virtual Reality
    (The Eurographics Association, 2019) Verhoeven, Floor; Sorkine-Hornung, Olga; Schulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michael
    User interfaces for 3D shape modeling in Virtual Reality (VR), unlike basic tasks such as text input and item selection, have been less explored in research so far. Shape modeling in 3D lends itself very well to VR, since the 3D immersion provides the user with richer spatial feedback and depth perception when compared to traditional 2D displays. That said, currently existing 3D modeling applications do not focus on optimizing the modeling interaction techniques for VR, but instead mostly merely port standard interaction paradigms. Our approach utilizes a popular sketch-based surface modeling algorithm in VR by rethinking the user interface in order to benefit from the 3D immersive environment and its inherent support of two-handed input. We propose a bimanual interaction technique that allows users to create 3D models via virtual deformable rods. These rods are bendable into outline shapes that are automatically inflated into manifold mesh surfaces, and can then be incrementally edited to further refine the shape.
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    Visual Analysis of Probabilistic Infection Contagion in Hospitals
    (The Eurographics Association, 2019) Wunderlich, Marcel; Block, Isabelle; von Landesberger, Tatiana; Petzold, Markus; Marschollek, Michael; Scheithauer, Simone; Schulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michael
    Clinicians and hygienists need to know how an infection of one patient could be transmitted among other patients in the hospital (e.g., to prevent outbreaks). They need to analyze how many and which patients will possibly be infected, how fast the infection could spread, and which contacts are likely to transfer the infections within the hospital. Currently, infection contagion is modeled and visualized for populations only on an aggregate level, without identification and exploration of possible infection between individuals. We present a novel visual analytics approach that simulates the contagion in a contact graph of patients in a hospital. We propose a clustering approach to identify probable contagion scenarios in the simulation ensemble. Furthermore, our novel visual design for detailed assessment of transmission shows the temporal development of contagion per patient in one view. We demonstrate the capability of our approach to a real-world use case in a German hospital.
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    Visualizing Transport and Mixing in Particle-based Fluid Flows
    (The Eurographics Association, 2019) Rapp, Tobias; Dachsbacher, Carsten; Schulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michael
    To gain insight into large, time-dependent particle-based fluid flows, we visually analyze Lagrangian coherent structures (LCS), a robust skeleton of the underlying particle dynamics. To identify these coherent structures, we build on recent work that efficiently computes the finite-time Lyapunov exponent (FTLE) directly on particle data. We formulate the LCS definitions for particles based on robust approximations for higher-order derivatives of the FTLE. Based on these formulations, we derive a per-particle distance to the closest coherent structure. This allows us to visually analyze and explore the Lagrangian transport behavior directly on the particle data. We show that this is especially beneficial to detect and visualize flow features on different time scales. Lastly, we apply our approach to study mixing in multiphase flows by visualizing the different types of fluids and their relation to the coherent structures.