Browsing VMV2020 by Title

Now showing items 11-16 of 16

    • Visual Exploration of Cultural Heritage Collections with Linked Spatiotemporal, Shape and Metadata Views 

      Lengauer, Stefan; Komar, Alexander; Karl, Stephan; Trinkl, Elisabeth; Preiner, Reinhold; Schreck, Tobias (The Eurographics Association, 2020)
      The analysis of Cultural Heritage (CH) artefacts is an important task in the Digital Humanities. Increasingly, rich CH artefact data comprising metadata of different modalities becomes available in digital libraries and ...

    • Visualization Aided Interface Reconstruction 

      Penk, Dominik; Müller, Jonas; Felfer, Peter; Grosso, Roberto; Stamminger, Marc (The Eurographics Association, 2020)
      Modern atom probe tomography measurements generate large point clouds of atomic locations in solids. A common analysis task in these datasets is to put the location of specific atom types in relation to crystallographic ...

    • Visualization Framework for Assisting Interface Optimization of Hybrid Component Design 

      Kretzschmar, Vanessa; Gillmann, Christina; Günther, Fabian; Stommel, Markus; Scheuermann, Gerik (The Eurographics Association, 2020)
      Reliable component design is one of structural mechanics' main objectives. Especially for lightweight constructions, hybrid parts made of a multi-material combination are used. The design process for these parts often ...

    • Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs 

      Agarwal, Shivam; Tkachev, Gleb; Wermelinger, Michel; Beck, Fabian (The Eurographics Association, 2020)
      Challenges in set visualization include representing overlaps among sets, changes in their membership, and details of constituent elements. We present a visualization technique that addresses these challenges. The approach ...

    • VMV 2020: Frontmatter 

      Krüger, Jens; Niessner, Matthias; Stückler, Jörg (The Eurographics Association, 2020)

    • 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 ...