Now showing items 1-20 of 35

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • A Design Space for Explainable Ranking and Ranking Models 

      Hazwan, Ibrahim Al; Schmid, Jenny; Sachdeva, Madhav; Bernard, Jürgen (The Eurographics Association, 2022)
      Item ranking systems support users in multi-criteria decision-making tasks. Users need to trust rankings and ranking algorithms to reflect user preferences nicely while avoiding systematic errors and biases. However, today ...
    • Digital Twins of Smart Farms 

      Zhao, Yuhang; Jiang, Zheyu; Pang, Shanchen; Lv, Zhihan (The Eurographics Association, 2022)
      In recent years, the development of Digital Twins has made rapid progress, and Digital Twins has gradually begun to combine various fields and applied to the current digitalization of the physical world. Digital Twins can ...
    • Enhancing Evaluation of Room Scale VR Studies to POI Visualizations in Minimaps 

      Ajdadilish, Batoul; Kohl, Steffi; Schröder, Kay (The Eurographics Association, 2022)
      Understanding and evaluating user behavior in virtual reality environments is challenging for researchers. Stereoscopic perception is highly dependent on the point of view, so it is necessary to account for multiple spatial ...
    • EuroVis 2022 Posters: Frontmatter 

      Krone, Michael; Lenti, Simone; Schmidt, Johanna (The Eurographics Association, 2022)
    • Exploration and Analysis of Image-base Simulation Ensembles 

      Dahshan, Mai; Turton, Terece L.; Polys, Nicholas (The Eurographics Association, 2022)
      Scientists run simulation ensembles to study the behavior of a phenomenon using varying initial conditions or input parameters. However, the I/O bottlenecks hinder performing large-scale multidimensional simulations. In ...
    • Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates 

      Derstroff, Adrian; Leistikow, Simon; Nahardani, Ali; Ebrahimi, Mahyasadat; Hoerr, Verena; Linsen, Lars (The Eurographics Association, 2022)
      Biomarkers are measurable biological properties that allow for distinguishing subjects of different cohorts such as healthy vs. diseased. In the context of diagnosing diseases of the cardiovascular system, researchers aim ...
    • GDot-i: Interactive System for Dot Paintings of Graphs 

      Eades, Peter; Hong, Seok-Hee; McGrane, Martin; Meidiana, Amyra (The Eurographics Association, 2022)
      This poster presents GDot-i, an interactive system visualizing graphs and networks as dot paintings, inspired by the dot painting style of Central Australia. We describe the implementation of GDot-i, a web-based interactive ...
    • Interactive Attribution-based Explanations for Image Segmentation 

      Humer, Christina; Elharty, Mohamed; Hinterreiter, Andreas; Streit, Marc (The Eurographics Association, 2022)
      Explanations of deep neural networks (DNNs) give users a better understanding of the inner workings and generalizability of a network. While the majority of research focuses on explanations for classification networks, in ...
    • Interactive Visualization of Machine Learning Model Results Predicting Infection Risk 

      Schäfer, Steffen; Baumgartl, Tom; Wulff, Antje; Kuijper, Arjan; Marschollek, Michael; Scheithauer, Simone; von Landesberger, Tatiana (The Eurographics Association, 2022)
      We present a novel visual-interactive interface to show results of a machine learning algorithm, which predicts the infection probability for patients in hospitals. The model result data is complex and needs to be presented ...
    • A Mental Workload Estimation for Visualization Evaluation Using EEG Data and NASA-TLX 

      Yim, Soobin; Yoon, Chanyoung; Yoo, Sangbong; Jang, Yun (The Eurographics Association, 2022)
      Mental workload is a cognitive effort felt by users while solving tasks, and good visualizations tend to induce a low mental workload. For better visualizations, various visualization techniques have been evaluated through ...
    • MOBS - Multi-Omics Brush for Subgraph Visualisation 

      Heylen, Dries; Peeters, Jannes; Ertaylan, Gökhan; Hooyberghs, Jef; Aerts, Jan (The Eurographics Association, 2022)
      One of the big opportunities in multi-omics analysis is the identification of interactions between molecular entities and their association with diseases. In analyzing and expressing these interactions in the search for ...
    • On Visualizing Music Storage Media for Modern Access to Historic Sources 

      Khulusi, Richard; Fricke, Heike (The Eurographics Association, 2022)
      Finding a balance between conserving historic objects and using them for research is one of the big issues in historic collections. Digitization holds the opportunity to offer a safe and non-destructible access to historic ...
    • Parameter Sensitivity and Uncertainty Visualization in DTI 

      Siddiqui, Faizan; Höllt, Thomas; Vilanova, Anna (The Eurographics Association, 2022)
      Diffusion Tensor Imaging is a powerful technique that provides a unique insight into the complex structure of the brain's white matter. However, several sources of uncertainty limit its widespread use. Data and modeling ...
    • PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback 

      Yu, Yuncong; Kruyff, Dylan; Jiao, Jiao; Becker, Tim; Behrisch, Michael (The Eurographics Association, 2022)
      We present PSEUDo, a visual pattern retrieval tool for multivariate time series. It aims to overcome the uneconomic (re- )training with deep learning-based methods. Very high-dimensional time series emerge on an unprecedented ...