Browsing 36-Issue 3 by Title

Now showing items 39-47 of 47

    • Visual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Design 

      Schikora, Christoph Markus; Plack, Markus; Bornemann, Rainer; Bolívar, Peter Haring; Kolb, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      2D Confocal Raman Microscopy (CRM) data consist of high dimensional per-pixel spectral data of 1000 bands and allows for complex spectral and spatial-spectral analysis tasks, i.e., in material discrimination, material ...

    • Visual Comparison of Eye Movement Patterns 

      Blascheck, Tanja; Schweizer, Markus; Beck, Fabian; Ertl, Thomas (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      In eye tracking research, finding eye movement patterns and similar strategies between participants' eye movements is important to understand task solving strategies and obstacles. In this application paper, we present a ...

    • Visual Exploration of Global Trade Networks with Time-Dependent and Weighted Hierarchical Edge Bundles on GPU 

      Hofmann, Johannes; Größler, Michael; Rubio-Sánchez, Manuel; Pichler, Peter-Paul; Lehmann, Dirk J. (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      The UN Comtrade database is the world's largest repository of bilateral trade data. Their complexity poses a challenge to visualization systems, leading to issues such as scalability and visual clutter. Thus, we propose a ...

    • Visual Narrative Flow: Exploring Factors Shaping Data Visualization Story Reading Experiences 

      McKenna, Sean; Riche, Nathalie Henry; Lee, Bongshin; Boy, Jeremy; Meyer, Miriah (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Many factors can shape the flow of visual data-driven stories, and thereby the way readers experience those stories. Through the analysis of 80 existing stories found on popular websites, we systematically investigate and ...

    • Visual Verification of Cancer Staging for Therapy Decision Support 

      Cypko, Mario A.; Wojdziak, Jan; Stoehr, Matthaeus; Kirchner, Bettina; Preim, Bernhard; Dietz, Andreas; Lemke, Heinz U.; Oeltze-Jafra, Steffen (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      It is generally accepted practice that each cancer patient case should be discussed in a clinical expert meeting, the so-called tumor board. A central role in finding the best therapy options for patients with solid tumors ...

    • Visualization of Delay Uncertainty and its Impact on Train Trip Planning: A Design Study 

      Wunderlich, Marcel; Ballweg, Kathrin; Fuchs, Georg; Landesberger, Tatiana von (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Uncertainty about possible train delays has an impact on train trips, as the exact arrival time is unknown during trip planning. Delays can lead to missing a connecting train at the transfer station, or to coming too late ...

    • Visualizing a Sequence of a Thousand Graphs (or Even More) 

      Burch, Michael; Hlawatsch, Marcel; Weiskopf, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      The visualization of dynamic graphs demands visually encoding at least three major data dimensions: vertices, edges, and time steps. Many of the state-of-the-art techniques can show an overview of vertices and edges but ...

    • Visualizing Probabilistic Multi-Phase Fluid Simulation Data using a Sampling Approach 

      Hummel, Mathias; Jöckel, Lisa; Schäfer, Jan; Hlawitschka, Mark Werner; Garth, Christoph (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Eulerian Method of Moment (MoM) solvers are gaining popularity for multi-phase CFD simulation involving bubbles or droplets in process engineering. Because the actual positions of bubbles are uncertain, the spatial ...

    • Visualizing the Uncertainty of Graph-based 2D Segmentation with Min-path Stability 

      Summa, Brian; Tierny, Julien; Pascucci, Valerio (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      This paper presents a novel approach to visualize the uncertainty in graph-based segmentations of scalar data. Segmentation of 2D scalar data has wide application in a variety of scientific and medical domains. Typically, ...