Browsing VMV17 by Subject "Computing methodologies"

Now showing items 1-5 of 5

    • Appearance Bending: A Perceptual Editing Paradigm for Data-Driven Material Models 

      Mylo, Marlon; Giesel, Martin; Zaidi, Qasim; Hullin, Matthias; Klein, Reinhard (The Eurographics Association, 2017)
      Data-driven representations of material appearance play an important role in a wide range of applications. Unlike with analytical models, however, the intuitive and efficient editing of tabulated reflectance data is still ...

    • Interactive Visualization of Gaps and Overlaps for Large and Dynamic Sphere Packings 

      Gu, Feng; Yang, Zhixing; Kolonko, Michael; Grosch, Thorsten (The Eurographics Association, 2017)
      To gain insight into many properties of granular matter, a particle packing can be simulated. For a dry particle mixture, collective rearrangement is often used as an iterative process to place the particles. In this paper, ...

    • LiteMaker: Interactive Luminaire Development using Progressive Photon Tracing and Multi-Resolution Upsampling 

      Krösl, Katharina; Luksch, Christian; Schwärzler, Michael; Wimmer, Michael (The Eurographics Association, 2017)
      Industrial applications like luminaire development (the creation of a luminaire in terms of geometry and material) or lighting design (the efficient and aesthetic placement of luminaires in a virtual scene) rely heavily ...

    • Pixel Cache Light Tracing 

      Jendersie, Johannes; Rohmer, Kai; Brüll, Felix; Grosch, Thorsten (The Eurographics Association, 2017)
      In this paper, we introduce Pixel Cache Light Tracing, which is a new low-noise combination of eye-path and light-path tracing. In the first pass, eye-path vertices are distributed from the observer and stored in a hit ...

    • User-study Based Optimization of Fast and Accurate Mahalanobis Brushing in Scatterplots 

      Fan, Chaoran; Hauser, Helwig (The Eurographics Association, 2017)
      Brushing is at the heart of most modern visual analytics solutions with coordinated, multiple views and effective brushing is crucial for swift and efficient processes in data exploration and analysis. Given a certain data ...