Browsing 39-Issue 6 by Title

Now showing items 31-37 of 37

    • Spherical Gaussian‐based Lightcuts for Glossy Interreflections 

      Huo, Y.C.; Jin, S.H.; Liu, T.; Hua, W.; Wang, R.; Bao, H.J. (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      It is still challenging to render directional but non‐specular reflections in complex scenes. The SG‐based (Spherical Gaussian) many‐light framework provides a scalable solution but still requires a large number of glossy ...

    • Stereo Inverse Brightness Modulation for Guidance in Dynamic Panorama Videos in Virtual Reality 

      Grogorick, Steve; Tauscher, Jan‐Philipp; Heesen, Nikkel; Castillo, Susana; Magnor, Marcus (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      The peak of virtual reality offers new exciting possibilities for the creation of media content but also poses new challenges. Some areas of interest might be overlooked because the visual content fills up a large portion ...

    • A Survey of Image Synthesis Methods for Visual Machine Learning 

      Tsirikoglou, A.; Eilertsen, G.; Unger, J. (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Image synthesis designed for machine learning applications provides the means to efficiently generate large quantities of training data while controlling the generation process to provide the best distribution and content ...

    • A Survey on Visualizations for Musical Data 

      Khulusi, R.; Kusnick, J.; Meinecke, C.; Gillmann, C.; Focht, J.; Jänicke, S. (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non‐expert users in data analysis ...

    • Temporal Upsampling of Point Cloud Sequences by Optimal Transport for Plant Growth Visualization 

      Golla, Tim; Kneiphof, Tom; Kuhlmann, Heiner; Weinmann, Michael; Klein, Reinhard (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Plant growth visualization from a series of 3D scanner measurements is a challenging task. Time intervals between successive measurements are typically too large to allow a smooth animation of the growth process. Therefore, ...

    • VisualNeuro: A Hypothesis Formation and Reasoning Application for Multi‐Variate Brain Cohort Study Data 

      Jönsson, Daniel; Bergström, Albin; Forsell, Camilla; Simon, Rozalyn; Engström, Maria; Walter, Susanna; Ynnerman, Anders; Hotz, Ingrid (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      We present an application, and its development process, for interactive visual analysis of brain imaging data and clinical measurements. The application targets neuroscientists interested in understanding the correlations ...

    • ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation 

      Sun, Zhiyu; Rooke, Ethan; Charton, Jerome; He, Yusen; Lu, Jia; Baek, Stephen (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      In this paper, we propose a novel formulation extending convolutional neural networks (CNN) to arbitrary two‐dimensional manifolds using orthogonal basis functions called Zernike polynomials. In many areas, geometric ...