Now showing items 37-45 of 45

    • A Survey on 3D Virtual Object Manipulation: From the Desktop to Immersive Virtual Environments 

      Mendes, D.; Caputo, F. M.; Giachetti, A.; Ferreira, A.; Jorge, J. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Interactions within virtual environments often require manipulating 3D virtual objects. To this end, researchers have endeavoured to find efficient solutions using either traditional input devices or focusing on different ...
    • A Survey on Data‐Driven 3D Shape Descriptors 

      Rostami, R.; Bashiri, F. S.; Rostami, B.; Yu, Z. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Recent advances in scanning device technologies and improvements in techniques that generate and synthesize 3D shapes have made 3D models widespread in various fields including medical research, biology, engineering, etc. ...
    • TexNN: Fast Texture Encoding Using Neural Networks 

      Pratapa, S.; Olson, T.; Chalfin, A.; Manocha, D. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a novel deep learning‐based method for fast encoding of textures into current texture compression formats. Our approach uses state‐of‐the‐art neural network methods to compute the appropriate encoding configurations ...
    • Turning a Digital Camera into an Absolute 2D Tele‐Colorimeter 

      Guarnera, G. C.; Bianco, S.; Schettini, R. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a simple and effective technique for absolute colorimetric camera characterization, invariant to changes in exposure/aperture and scene irradiance, suitable in a wide range of applications including image‐based ...
    • Urban Walkability Design Using Virtual Population Simulation 

      Mathew, C. D. Tharindu; Knob, Paulo R.; Musse, Soraia Raupp; Aliaga, Daniel G. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a system to generate a procedural environment that produces a desired crowd behaviour. Instead of altering the behavioural parameters of the crowd itself, we automatically alter the environment to yield such ...
    • A Variational Approach to Registration with Local Exponential Coordinates 

      Paman, Ashish; Rangarajan, Ramsharan (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We identify a novel parameterization for the group of finite rotations (SO), consisting of an atlas of exponential maps defined over local tangent planes, for the purpose of computing isometric transformations in registration ...
    • VisFM: Visual Analysis of Image Feature Matchings 

      Li, Chenhui; Baciu, George (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Feature matching is the most basic and pervasive problem in computer vision and it has become a primary component in big data analytics. Many tools have been developed for extracting and matching features in video streams ...
    • Visual Exploration of Dynamic Multichannel EEG Coherence Networks 

      Ji, C.; Gronde, J. J.; Maurits, N. M.; Roerdink, J. B. T. M. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Electroencephalography (EEG) coherence networks represent functional brain connectivity, and are constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of such ...
    • Visualization of Neural Network Predictions for Weather Forecasting 

      Roesch, Isabelle; Günther, Tobias (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Recurrent neural networks are prime candidates for learning evolutions in multi‐dimensional time series data. The performance of such a network is judged by the loss function, which is aggregated into a scalar value that ...