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Browsing VMV2020 by Subject "Computing methodologies"

Now showing items 1-6 of 6

    • A Compact Patch-Based Representation for Technical Mesh Models 

      Kammann, Lars; Menzel, Stefan; Botsch, Mario (The Eurographics Association, 2020)
      We present a compact and intuitive geometry representation for technical models initially given as triangle meshes. For CADlike models the defining features often coincide with the intersection between smooth surface ...

    • Multi-Layer Alpha Tracing 

      Brüll, Felix; Grosch, Thorsten (The Eurographics Association, 2020)
      Rendering many transparent surfaces in real-time is still an open problem. We introduce two techniques for fast transparency rendering with ray tracing hardware, one being exact and the other being approximate but of high ...

    • Portal-Based Path Perturbation for Metropolis Light Transport 

      Otsu, Hisanari; Hanika, Johannes; Dachsbacher, Carsten (The Eurographics Association, 2020)
      Light transport simulation in scenes with difficult visibility still remains a challenging problem. Markov chain Monte Carlo (MCMC) rendering is often employed for such configurations. It generates a sequence of correlated ...

    • Real-time High-resolution Visualisation 

      Frieß, Florian; Müller, Christoph; Ertl, Thomas (The Eurographics Association, 2020)
      While visualisation often strives for abstraction, the interactive exploration of large scientific data sets like densely sampled 3D fields or massive particle data sets still benefits from rendering their graphical ...

    • Segmenting Computer-Tomographic Scans of Ancient Clay Artefacts for Visual Analysis of Cuneiform Inscriptions 

      Rolff, Tim; Rautenhaus, Marc; Olbrich, Stephan; Frintrop, Simone (The Eurographics Association, 2020)
      We address the automatic segmentation of computer tomographic scans of ancient clay tablets with cuneiform inscriptions enclosed inside a clay envelope. Such separation of parts of similar material properties in the scan ...

    • WLD: A Wavelet and Learning based Line Descriptor for Line Feature Matching 

      Lange, Manuel; Raisch, Claudio; Schilling, Andreas (The Eurographics Association, 2020)
      We present a machine learning based and wavelet enhanced line feature descriptor for line feature matching. Therefor we trained a neural network to compute a descriptor for a line, given preprocessed information from the ...