Browsing EuroVisShort2020 by Subject "Computing methodologies"

Now showing items 1-8 of 8

    • The Effect of Graph Layout on the Perception of Graph Properties 

      Kypridemou, Elektra; Zito, Michele; Bertamini, Marco (The Eurographics Association, 2020)
      The way in which a graph is described visually is crucial for the understanding and analysis of its structure. In this study we explore how different drawing layouts affect our perception of the graph's properties. We study ...

    • Effective Visualization of Sparse Image-to-Image Correspondences 

      Andujar, Carlos; Chica, Antonio; Comino Trinidad, Marc (The Eurographics Association, 2020)
      Finding robust correspondences between images is a crucial step in photogrammetry applications. The traditional approach to visualize sparse matches between two images is to place them side-by-side and draw link segments ...

    • Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques 

      Bors, Christian; Eichner, Christian; Miksch, Silvia; Tominski, Christian; Schumann, Heidrun; Gschwandtner, Theresia (The Eurographics Association, 2020)
      Time series segmentation is employed in various domains and continues to be a relevant topic of research. A segmentation pipeline is composed of different steps involving several parameterizable algorithms. Existing Visual ...

    • Fast Design Space Rendering of Scatterplots 

      Santala, Simo; Oulasvirta, Antti; Weinkauf, Tino (The Eurographics Association, 2020)
      The design space of scatterplots consists of a number of parameters such as marker size and shape, image width and aspect ratio, and opacity. Different parameters yield different visual impressions of the scatterplot. ...

    • GaCoVi: a Correlation Visualization to Support Interpretability-Aware Feature Selection for Regression Models 

      Rojo, Diego; Htun, Nyi Nyi; Verbert, Katrien (The Eurographics Association, 2020)
      The recent growth of interest in explainable artificial intelligence (XAI) has resulted in a large number of research efforts to provide accountable and transparent machine learning systems. Although a large volume of ...

    • Joint-Sphere: Intuitive and Detailed Human Joint Motion Representation 

      Kim, Seonghun; Balasubramanyam, Adithya; Kim, Dubeom; Chai, Young Ho; Patil, Ashok Kumar (The Eurographics Association, 2020)
      A motion comparison method using images allows for the motions to be easily recognized and to see differences between each action. However, when using images, orientation differences between similar motions cannot be ...

    • Progressive Rendering of Transparent Integral Surfaces 

      Tian, Xingze; Günther, Tobias (The Eurographics Association, 2020)
      Integral surfaces are a useful method in illustrative and geometry-based flow visualization, as they convey shading, depth and geometric information better than their line-based counterparts. However, they are not as ...

    • Sketchy Rendering to Aid the Recollection of Regular Visualizations 

      Larsen, Michael Reidun Engelbrecht; Han, Wenkai; Schulz, Hans-Jörg (The Eurographics Association, 2020)
      Some visualizations have a more regular visual appearance than others. For example, while stream graphs or force-directed network layouts feature a unique, almost organic 'look and feel', matrices or unit treemaps can ...