Browsing VMV18 by Subject "Human"

Now showing items 1-6 of 6

    • Automatic Generation of Saliency-based Areas of Interest for the Visualization and Analysis of Eye-tracking Data 

      Fuhl, Wolfgang; Kuebler, Thomas; Santini, Thiago; Kasneci, Enkelejda (The Eurographics Association, 2018)
      Areas of interest (AOIs) are a powerful basis for the analysis and visualization of eye-tracking data. They allow to relate eyetracking metrics to semantic stimulus regions and to perform further statistics. In this work, ...

    • Clustering for Stacked Edge Splatting 

      Abdelaal, Moataz; Hlawatsch, Marcel; Burch, Michael; Weiskopf, Daniel (The Eurographics Association, 2018)
      We present a time-scalable approach for visualizing dynamic graphs. By adopting bipartite graph layouts known from parallel edge splatting, individual graphs are horizontally stacked by drawing partial edges, leading to ...

    • Correlated Point Sampling for Geospatial Scalar Field Visualization 

      Roveri, Riccardo; Lehmann, Dirk J.; Gross, Markus; Günther, Tobias (The Eurographics Association, 2018)
      Multi-variate visualizations of geospatial data often use combinations of different visual cues, such as color and texture. For textures, different point distributions (blue noise, regular grids, etc.) can encode nominal ...

    • Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices 

      Monroy, Rafael; Hudon, Matis; Smolic, Aljosa (The Eurographics Association, 2018)
      Augmented Reality is a topic of foremost interest nowadays. Its main goal is to seamlessly blend virtual content in real-world scenes. Due to the lack of computational power in mobile devices, rendering a virtual object ...

    • Identifying Similar Eye Movement Patterns with t-SNE 

      Burch, Michael (The Eurographics Association, 2018)
      In this paper we describe an approach based on the t-distributed stochastic neighbor embedding (t-SNE) focusing on projecting high-dimensional eye movement data to two dimensions. The lower-dimensional data is then represented ...

    • The Parallel Eigenvectors Operator 

      Oster, Timo; Rössl, Christian; Theisel, Holger (The Eurographics Association, 2018)
      The parallel vectors operator is a prominent tool in visualization that has been used for line feature extraction in a variety of applications such as ridge and valley lines, separation and attachment lines, and vortex ...