Now showing items 1-20 of 186

    • Accurate and Memory-Efficient GPU Ray-Casting Algorithm for Volume Rendering Unstructured Grid Data 

      Gu, Gibeom; Kim, Duksu (The Eurographics Association, 2019)
      We present a novel GPU ray-casting algorithm for volume rendering unstructured grid data. We employ the per-pixel intersection list to guarantee accurate results for non-convex meshes. For efficient memory access for the ...
    • Accurate Molecular Atom Selection in VR 

      Molina, Elena; Vázquez, Pere-Pau (The Eurographics Association, 2022)
      Accurate selection in cluttered scenes is complex because a high amount of precision is required. In Virtual Reality Environments, it is even worse, because it is more difficult for us to point a small object with our arms ...
    • Accurate Visualization of Galaxy Velocity Fields from Three-Dimensional Integral Field Spectroscopy Data 

      Uchiki, Rikuo; Boussejra, Malik Olivier; Zhu, Liyu; Takeshima, Yuriko; Matsubayashi, Kazuya; Uemura, Makoto; Fujishiro, Issei (The Eurographics Association, 2020)
      In recent years, integral field spectroscopy (IFS) has become a major methodology in observational astronomy. Visual analysis of galactic motions is expected to play a crucial role in discovering the physical properties ...
    • ANARI: ANAlytic Rendering Interface 

      Griffin, Kevin; Amstutz, Jefferson; DeMarle, Dave; Günther, Johannes; Progsch, Jakob; Sherman, William; Stone, John E.; Usher, Will; Kooten, Kees van (The Eurographics Association, 2022)
      The ANARI API enables users to build the description of a scene to generate imagery, rather than specifying the details of the rendering process, providing simplified visualization application development and cross-vendor ...
    • Automatic Segmentation of Tooth Images: Optimization of Multi-parameter Image Processing Workflow 

      Bressan Fogalli, Giovani; Line, Sérgio Roberto Peres; Baum, Daniel (The Eurographics Association, 2022)
      The development of specific algorithms in image processing are usually related to dataset characteristics. Those characteristics will influence the number of instructions required to solve a problem. Normally, the more ...
    • BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network 

      Kinkeldey, Christoph; Fekete, Jean-Daniel; Isenberg, Petra (The Eurographics Association, 2017)
      BitConduite is a system we are developing for the visual exploration of financial activity on the Bitcoin network. Bitcoin is the largest digital pseudo-currency worldwide and its study is of increasing interest and ...
    • Case Studies of Shareable Personal Map Visualization 

      Ruchikachorn, Puripant (The Eurographics Association, 2018)
      This paper presents two examples of personal data visualizations to be shared among peers. The visualized and shared data were travel destinations in Thailand and daily commutes in Bangkok, Thailand. The former gathered ...
    • A Case Study on Implementing Screen Reader Accessibility in Dynamic Visualizations 

      Costa, Rita; Malveiro, Beatriz; Palmeiro, João; Bizarro, Pedro (The Eurographics Association, 2022)
      Millions of people worldwide work in jobs where assessing dynamic data presented visually to them is a key part of their tasks. Since the data is only represented in a visual format, these occupations are out of reach for ...
    • Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data 

      Bögl, Markus; Bors, Christian; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2018)
      The segmenting and labeling of multivariate time series data is applied in different domains, e.g. activity recognition or sensor states. This involves several steps of (pre-) processing, segmenting, and labeling of time ...
    • The Challenge of Branch-Aware Data Manifold Exploration 

      Bot, Daniël M.; Peeters, Jannes; Aerts, Jan (The Eurographics Association, 2023)
      Branches within clusters can represent meaningful subgroups that should be explored. In general, automatically detecting branching structures within clusters requires analysing the distances between data points and a ...
    • Chord2DS: An Extension to Chord Diagram to Show Data Elements from Two Heterogeneous Data Sources 

      Humayoun, Shah Rukh; Brahmadevara, Likhitha (The Eurographics Association, 2022)
      The standard Chord diagram, a radial layout, shows data elements in a circular fashion from one data source. In this paper, we propose an extension to the standard Chord diagram to show data elements from two heterogeneous ...
    • CitadelPolice: An Interactive Visualization Environment for Scenario Testing on Criminal Networks 

      Roelofsen, Liza A. S.; Oetker, Frederike; Lely, Miles van der; Belleman, Robert G.; Quax, Rick (The Eurographics Association, 2023)
      Criminal networks have proven to be highly resilient against law enforcement interventions. This resiliency has driven researchers to investigate these networks further. However, the obtained insights reaching law enforcement ...
    • CohExplore: Visually Supporting Students in Exploring Text Cohesion 

      Liebers, Carina; Agarwal, Shivam; Beck, Fabian (The Eurographics Association, 2023)
      A cohesive text allows readers to follow the described ideas and events. Exploring cohesion in text might aid students enhancing their academic writing. We introduce CohExplore, which promotes exploring and reflecting on ...
    • Coloring Interactive Compositional Dot Maps 

      Tennekes, Martijn; Jonge, Edwin de (The Eurographics Association, 2016)
      We propose an algorithmic color scheme for zoom-able compositional dot maps. Contrary to existing methods, it uses density, composition, and zoom level to color the pixels of the resulting dot map. We describe the method ...
    • Comparative Analysis with Heightmaps in Virtual Reality Environments 

      Kraus, Matthias; Buchmüller, Juri; Schweitzer, Daniel; Keim, Daniel A.; Fuchs, Johannes (The Eurographics Association, 2019)
      3D heightmaps can be considered as an extension of heatmaps using the third dimension to encode the respective value by height, often in addition to encoding it by color. In contrast to 2D heatmaps, 3D heightmaps allow a ...
    • Comparative Visualization of Longitudinal 24-hour Ambulatory Blood Pressure Measurements in Pediatric Patients with Chronic Kidney Disease 

      Özmen, Mahmut; Jabarulla, Mohamed Yaseen; Grabitz, Carl Robert; Melk, Anette; Wühl, Elke; Oeltze-Jafra, Steffen (The Eurographics Association, 2023)
      Pediatric chronic kidney disease (CKD) increases the risk of cardiovascular disease, stroke and other life-threatening conditions. Monitoring blood pressure in CKD patients is crucial to managing these risks. 24-hour ...
    • Constructing Hierarchical Continuity in Hilbert & Moore Treemaps 

      Scheibel, Willy; Döllner, Jürgen (The Eurographics Association, 2023)
      The Hilbert and Moore treemap layout algorithms are based on the space-filling Hilbert and Moore curves, respectively, to map tree-structured datasets to a 2D treemap layout. Considering multiple snapshots of a time-variant ...
    • Context Specific Visualizations on Smartwatches 

      Islam, Alaul; Blascheck, Tanja; Isenberg, Petra (The Eurographics Association, 2022)
      We present an analysis of the results of a full-day context-specific ideation exercise for smartwatch visualizations. Participants of the exercise created 34 sketches during a sightseeing activity. Our analysis of these ...
    • ConTraffic Visual Analytics in Support to Customs Risk-Analysis 

      Poulymenopoulou, Mikaela; Tsois, Aris (The Eurographics Association, 2017)
      Customs risk analysis is crucial for detecting fraud and contraband goods in the massive flows of internationally traded goods. Most of non-bulk goods are transported in shipping containers and, as customs can control only ...
    • A Conversational Data Visualisation Platform for Hierarchical Multivariate Data 

      Kavaz, Ecem; Rodríguez, Inmaculada; Puig, Anna; Vives, Eduard (The Eurographics Association, 2023)
      This paper presents a novel data visualisation platform that integrates both direct manipulation and conversational interaction styles for analysing hierarchical multivariate data. The proposed architecture is based on the ...