Now showing items 21-40 of 13339

    • 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. ...
    • Denoising Deep Monte Carlo Renderings 

      Vicini, D.; Adler, D.; Novák, J.; Rousselle, F.; Burley, B. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a novel algorithm to denoise deep Monte Carlo renderings, in which pixels contain multiple colour values, each for a different range of depths. Deep images are a more expressive representation of the scene than ...
    • 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 ...
    • Projected Field Similarity for Comparative Visualization of Multi‐Run Multi‐Field Time‐Varying Spatial Data 

      Fofonov, A.; Linsen, L. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The purpose of multi‐run simulations is often to capture the variability of the output with respect to different initial settings. Comparative analysis of multi‐run spatio‐temporal simulation data requires us to investigate ...
    • On Visualizing Continuous Turbulence Scales 

      Liu, Xiaopei; Mishra, Maneesh; Skote, Martin; Fu, Chi‐Wing (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Turbulent flows are multi‐scale with vortices spanning a wide range of scales continuously. Due to such complexities, turbulence scales are particularly difficult to analyse and visualize. In this work, we present a novel ...
    • Autonomous Particles for Interactive Flow Visualization 

      Engelke, Wito; Lawonn, Kai; Preim, Bernhard; Hotz, Ingrid (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present an interactive approach to analyse flow fields using a new type of particle system, which is composed of autonomous particles exploring the flow. While particles provide a very intuitive way to visualize flows, ...
    • Flexible Use of Temporal and Spatial Reasoning for Fast and Scalable CPU Broad‐Phase Collision Detection Using KD‐Trees 

      Serpa, Ygor Rebouças; Rodrigues, Maria Andréia Formico (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Realistic computer simulations of physical elements such as rigid and deformable bodies, particles and fractures are commonplace in the modern world. In these simulations, the broad‐phase collision detection plays an ...
    • Controllable Image‐Based Transfer of Flow Phenomena 

      Bosch, Carles; Patow, Gustavo (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Modelling flow phenomena and their related weathering effects is often cumbersome due their dependence on the environment, materials and geometric properties of objects in the scene. Example‐based modelling provides many ...
    • MegaViews: Scalable Many‐View Rendering With Concurrent Scene‐View Hierarchy Traversal 

      Kol, Timothy R.; Bauszat, Pablo; Lee, Sungkil; Eisemann, Elmar (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a scalable solution to render complex scenes from a large amount of viewpoints. While previous approaches rely either on a scene or a view hierarchy to process multiple elements together, we make full use of ...
    • Stylized Image Triangulation 

      Lawonn, Kai; Günther, Tobias (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The art of representing images with triangles is known as image triangulation, which purposefully uses abstraction and simplification to guide the viewer's attention. The manual creation of image triangulations is tedious ...
    • Applying Visual Analytics to Physically Based Rendering 

      Simons, G.; Herholz, S.; Petitjean, V.; Rapp, T.; Ament, M.; Lensch, H.; Dachsbacher, C.; Eisemann, M.; Eisemann, E. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Physically based rendering is a well‐understood technique to produce realistic‐looking images. However, different algorithms exist for efficiency reasons, which work well in certain cases but fail or produce rendering ...
    • 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 ...
    • Realtime Performance‐Driven Physical Simulation for Facial Animation 

      Barrielle, V.; Stoiber, N. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present the first realtime method for generating facial animations enhanced by physical simulation from realtime performance capture data. Unlike purely data‐based techniques, our method is able to produce physical ...
    • A Survey of Simple Geometric Primitives Detection Methods for Captured 3D Data 

      Kaiser, Adrien; Ybanez Zepeda, Jose Alonso; Boubekeur, Tamy (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The amount of captured 3D data is continuously increasing, with the democratization of consumer depth cameras, the development of modern multi‐view stereo capture setups and the rise of single‐view 3D capture based on ...
    • An Adaptive Multi‐Grid Solver for Applications in Computer Graphics 

      Kazhdan, Misha; Hoppe, Hugues (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      A key processing step in numerous computer graphics applications is the solution of a linear system discretized over a spatial domain. Often, the linear system can be represented using an adaptive domain tessellation, ...
    • Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges 

      Oeltze‐Jafra, S.; Meuschke, M.; Neugebauer, M.; Saalfeld, S.; Lawonn, K.; Janiga, G.; Hege, H.‐C.; Zachow, S.; Preim, B. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Simulations and measurements of blood and airflow inside the human circulatory and respiratory system play an increasingly important role in personalized medicine for prevention, diagnosis and treatment of diseases. This ...
    • FitConnect: Connecting Noisy 2D Samples by Fitted Neighbourhoods 

      Ohrhallinger, S.; Wimmer, M. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a parameter‐free method to recover manifold connectivity in unstructured 2D point clouds with high noise in terms of the local feature size. This enables us to capture the features which emerge out of the noise. ...
    • 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 ...
    • Optimal Sample Weights for Hemispherical Integral Quadratures 

      Marques, Ricardo; Bouville, Christian; Bouatouch, Kadi (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      This paper proposes optimal quadrature rules over the hemisphere for the shading integral. We leverage recent work regarding the theory of quadrature rules over the sphere in order to derive a new theoretical framework for ...
    • 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 ...