Now showing items 13-16 of 16

    • Persistent Homology and the Discrete Laplace Operator For Mesh Similarity 

      Hajij, Mustafa; Zhang, Yunhao; Liu, Haowen; Rosen, Paul (The Eurographics Association, 2020)
      We use persistent homology along with the eigenfunctions of the Laplacian to study similarity amongst geometric and combinatorial objects. Our method relies on studying the lower-star filtration induced by the eigenfunctions ...
    • Recognising Specific Foods in MRI Scans Using CNN and Visualisation 

      Gardner, Joshua; Al-Maliki, Shatha; Lutton, Évelyne; Boué, François; Vidal, Franck (The Eurographics Association, 2020)
      This work is part of an experimental project aiming at understanding the kinetics of human gastric emptying. For this purpose magnetic resonance imaging (MRI) images of the stomach of healthy volunteers have been acquired ...
    • Simulating Dynamic Ecosystems with Co-Evolutionary Agents 

      Ferguson, Gary; Vidal, Franck (The Eurographics Association, 2020)
      As video games grow in complexity and require increasingly large and immersive environments, there is a need for more believable and dynamic characters not controlled by the player, known as non-player character (NPC). ...
    • Visualizing Usage Data from a Diabetes Management System 

      Duce, David A.; Martin, Clare; Russell, Alex; Brown, Dan; Aldea, Arantza; Alshaigy, Bedour; Harrison, Rachel; Waite, Marion; Leal, Yenny; Wos, Marzena; Fernandez-Balsells, Mercè; Real, José Manuel Fernández; Nita, Lucian; López, Beatriz; Massana, Joaquim; Avari, Parizad; Herrero, Pau; Jugnee, Narvada; Oliver, Nick; Reddy, Monika (The Eurographics Association, 2020)
      This article explores the role for visualization in interpreting data collected by a customised analytics framework within a healthcare technology project. It draws on the work of the EU-funded PEPPER project, which has ...