Browsing VMV19 by Subject "Computing methodologies"

Now showing items 1-10 of 10

    • Consistent Filtering of Videos and Dense Light-Fields Without Optic-Flow 

      Shekhar, Sumit; Semmo, Amir; Trapp, Matthias; Tursun, Okan; Pasewaldt, Sebastian; Myszkowski, Karol; Döllner, Jürgen (The Eurographics Association, 2019)
      A convenient post-production video processing approach is to apply image filters on a per-frame basis. This allows the flexibility of extending image filters-originally designed for still images-to videos. However, per-image ...

    • Joint Schedule and Layout Autotuning for Sparse Matrices with Compound Entries on GPUs 

      Mueller-Roemer, Johannes Sebastian; Stork, André; Fellner, Dieter W. (The Eurographics Association, 2019)
      Large sparse matrices with compound entries, i.e., complex and quaternionic matrices as well as matrices with dense blocks, are a core component of many algorithms in geometry processing, physically based animation, and ...

    • Learning a Perceptual Quality Metric for Correlation in Scatterplots 

      Wöhler, Leslie; Zou, Yuxin; Mühlhausen, Moritz; Albuquerque, Georgia; Magnor, Marcus (The Eurographics Association, 2019)
      Visual quality metrics describe the quality and efficiency of multidimensional data visualizations in order to guide data analysts during exploration tasks. Current metrics are usually based on empirical algorithms which ...

    • Multi-Level-Memory Structures for Adaptive SPH Simulations 

      Winchenbach, Rene; Kolb, Andreas (The Eurographics Association, 2019)
      In this paper we introduce a novel hash map-based sparse data structure for highly adaptive Smoothed Particle Hydrodynamics (SPH) simulations on GPUs. Our multi-level-memory structure is based on stacking multiple independent ...

    • Normal Map Bias Reduction for Many-Lights Multi-View Photometric Stereo 

      Gan, Jiangbin; Bergen, Philipp; Thormählen, Thorsten; Drescher, Philip; Hagens, Ralf (The Eurographics Association, 2019)
      In this paper, we improve upon an existing many-lights multi-view photometric stereo approach. Firstly, we show how to detect continuous regions for normal integration, which leads to a fully automatic reconstruction ...

    • Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays 

      Qiu, Simeng; Fu, Qiang; Wang, Congli; Heidrich, Wolfgang (The Eurographics Association, 2019)
      Division-of-focal-plane (DoFP) polarization image sensors allow for snapshot imaging of linear polarization effects with inexpensive and straightforward setups. However, conventional interpolation based image reconstruction ...

    • Reconfigurable Snapshot HDR Imaging Using Coded Masks and Inception Network 

      Alghamdi, Masheal; Fu, Qiang; Thabet, Ali; Heidrich, Wolfgang (The Eurographics Association, 2019)
      High Dynamic Range (HDR) image acquisition from a single image capture, also known as snapshot HDR imaging, is challenging because the bit depths of camera sensors are far from sufficient to cover the full dynamic range ...

    • RodMesh: Two-handed 3D Surface Modeling in Virtual Reality 

      Verhoeven, Floor; Sorkine-Hornung, Olga (The Eurographics Association, 2019)
      User interfaces for 3D shape modeling in Virtual Reality (VR), unlike basic tasks such as text input and item selection, have been less explored in research so far. Shape modeling in 3D lends itself very well to VR, since ...

    • Stochastic Convolutional Sparse Coding 

      Xiong, Jinhui; Richtarik, Peter; Heidrich, Wolfgang (The Eurographics Association, 2019)
      State-of-the-art methods for Convolutional Sparse Coding usually employ Fourier-domain solvers in order to speed up the convolution operators. However, this approach is not without shortcomings. For example, Fourier-domain ...

    • Trigonometric Moments for Editable Structured Light Range Finding 

      Werner, Sebastian; Iseringhausen, Julian; Callenberg, Clara; Hullin, Matthias (The Eurographics Association, 2019)
      Structured-light methods remain one of the leading technologies in high quality 3D scanning, specifically for the acquisition of single objects and simple scenes. For more complex scene geometries, however, non-local light ...