Now showing items 21-40 of 45

    • 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 ...
    • Editorial 2019 CGF 38-1 

      Chen, Min; Benes, Bedrich (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
    • Filtered Quadrics for High‐Speed Geometry Smoothing and Clustering 

      Legrand, Hélène; Thiery, Jean‐Marc; Boubekeur, Tamy (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Modern 3D capture pipelines produce dense surface meshes at high speed, which challenge geometric operators to process such massive data on‐the‐fly. In particular, aiming at instantaneous feature‐preserving smoothing and ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Superpixel Generation by Agglomerative Clustering With Quadratic Error Minimization 

      Dong, Xiao; Chen, Zhonggui; Yao, Junfeng; Guo, Xiaohu (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Superpixel segmentation is a popular image pre‐processing technique in many computer vision applications. In this paper, we present a novel superpixel generation algorithm by agglomerative clustering with quadratic error ...
    • MyEvents: A Personal Visual Analytics Approach for Mining Key Events and Knowledge Discovery in Support of Personal Reminiscence 

      Parvinzamir, F.; Zhao, Y.; Deng, Z.; Dong, F. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Reminiscence is an important aspect in our life. It preserves precious memories, allows us to form our own identities and encourages us to accept the past. Our work takes the advantage of modern sensor technologies to ...
    • A Probabilistic Steering Parameter Model for Deterministic Motion Planning Algorithms 

      Agethen, Philipp; Gaisbauer, Felix; Rukzio, Enrico (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The simulation of two‐dimensional human locomotion in a bird's eye perspective is a key technology for various domains to realistically predict walk paths. The generated trajectories, however, are frequently deviating from ...
    • 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 ...
    • 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 ...
    • Privacy Preserving Visualization: A Study on Event Sequence Data 

      Chou, Jia‐Kai; Wang, Yang; Ma, Kwan‐Liu (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The inconceivable ability and common practice to collect personal data as well as the power of data‐driven approaches to businesses, services and security nowadays also introduce significant privacy issues. There have been ...
    • A Survey of Information Visualization Books 

      Rees, D.; Laramee, R. S. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Information visualization is a rapidly evolving field with a growing volume of scientific literature and texts continually published. To keep abreast of the latest developments in the domain, survey papers and state‐of‐the‐art ...
    • 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 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 ...
    • 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 ...
    • Shading‐Based Surface Recovery Using Subdivision‐Based Representation 

      Deng, Teng; Zheng, Jianmin; Cai, Jianfei; Cham, Tat‐Jen (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      This paper presents subdivision‐based representations for both lighting and geometry in shape‐from‐shading. A very recent shading‐based method introduced a per‐vertex overall illumination model for surface reconstruction, ...
    • 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 ...
    • 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. ...
    • 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 ...