Browsing VMV19 by Title

Now showing items 11-20 of 20

    • Reconfigurable Snapshot HDR Imaging Using Coded Masks and Inception Network 

      Alghamdi, Masheal; Fu, Qiang; Thabet, Ali; Heidrich, Wolfgang (The Eurographics Association, 2019)
      High Dynamic Range (HDR) image acquisition from a single image capture, also known as snapshot HDR imaging, is challenging because the bit depths of camera sensors are far from sufficient to cover the full dynamic range ...

    • Reflection Symmetry in Textured Sewing Patterns 

      Wolff, Katja; Herholz, Philipp; Sorkine-Hornung, Olga (The Eurographics Association, 2019)
      Recent work in the area of digital fabrication of clothes focuses on repetitive print patterns, specifically the 17 wallpaper groups, and their alignment along garment seams. While adjusting the underlying sewing patterns ...

    • RodMesh: Two-handed 3D Surface Modeling in Virtual Reality 

      Verhoeven, Floor; Sorkine-Hornung, Olga (The Eurographics Association, 2019)
      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 ...

    • Stochastic Convolutional Sparse Coding 

      Xiong, Jinhui; Richtarik, Peter; Heidrich, Wolfgang (The Eurographics Association, 2019)
      State-of-the-art methods for Convolutional Sparse Coding usually employ Fourier-domain solvers in order to speed up the convolution operators. However, this approach is not without shortcomings. For example, Fourier-domain ...

    • Trigonometric Moments for Editable Structured Light Range Finding 

      Werner, Sebastian; Iseringhausen, Julian; Callenberg, Clara; Hullin, Matthias (The Eurographics Association, 2019)
      Structured-light methods remain one of the leading technologies in high quality 3D scanning, specifically for the acquisition of single objects and simple scenes. For more complex scene geometries, however, non-local light ...

    • Visual Analysis of Probabilistic Infection Contagion in Hospitals 

      Wunderlich, Marcel; Block, Isabelle; von Landesberger, Tatiana; Petzold, Markus; Marschollek, Michael; Scheithauer, Simone (The Eurographics Association, 2019)
      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 ...

    • Visual Analytics of Simulation Ensembles for Network Dynamics 

      Ngo, Quynh Quang; Hütt, Marc-Thorsten; Linsen, Lars (The Eurographics Association, 2019)
      A central question in the field of Network Science is to analyze the role of a given network topology on the dynamical behavior captured by time-varying simulations executed on the network. These dynamical systems are also ...

    • A Visual Analytics Tool for Cohorts in Motion Data 

      Sheharyar, Ali; Ruh, Alexander; Valkov, Dimitar; Markl, Michael; Bouhali, Othmane; Linsen, Lars (The Eurographics Association, 2019)
      Motion data are curves over time in a 1D, 2D, or 3D space. To analyze sets of curves, machine learning methods can be applied to cluster them and detect outliers. However, often metadata or prior knowledge of the analyst ...

    • Visualizing Transport and Mixing in Particle-based Fluid Flows 

      Rapp, Tobias; Dachsbacher, Carsten (The Eurographics Association, 2019)
      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, ...

    • VMV 2019: Frontmatter 

      Schulz, Hans-Jörg; Teschner, Matthias; Wimmer, Michael (Eurographics Association, 2019)