Now showing items 252-267 of 267

    • V-Awake: A Visual Analytics Approach for Correcting Sleep Predictions from Deep Learning Models 

      Garcia Caballero, Humberto; Westenberg, Michel; Gebre, Binyam; Wijk, Jarke J. van (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The usage of deep learning models for tagging input data has increased over the past years because of their accuracy and highperformance. A successful application is to score sleep stages. In this scenario, models are ...
    • A Variational Approach to Registration with Local Exponential Coordinates 

      Paman, Ashish; Rangarajan, Ramsharan (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We identify a novel parameterization for the group of finite rotations (SO), consisting of an atlas of exponential maps defined over local tangent planes, for the purpose of computing isometric transformations in registration ...
    • VIAN: A Visual Annotation Tool for Film Analysis 

      Halter, Gaudenz; Ballester-Ripoll, Rafael; Flueckiger, Barbara; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      While color plays a fundamental role in film design and production, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a ...
    • 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 ...
    • Visibility-Aware Progressive Farthest Point Sampling on the GPU 

      Brandt, Sascha; Jähn, Claudius; Fischer, Matthias; Heide, Friedhelm Meyer auf der (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we present the first algorithm for progressive sampling of 3D surfaces with blue noise characteristics that runs entirely on the GPU. The performance of our algorithm is comparable to state-of-the-art GPU ...
    • Visual Analysis of Charge Flow Networks for Complex Morphologies 

      Kottravel, Sathish; Falk, Martin; Bin Masood, Talha; linares, mathieu; Hotz, Ingrid (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In the field of organic electronics, understanding complex material morphologies and their role in efficient charge transport in solar cells is extremely important. Related processes are studied using the Ising model and ...
    • Visual Exploration of Dynamic Multichannel EEG Coherence Networks 

      Ji, C.; Gronde, J. J.; Maurits, N. M.; Roerdink, J. B. T. M. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Electroencephalography (EEG) coherence networks represent functional brain connectivity, and are constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of such ...
    • A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science 

      Fröhler, Bernhard; Elberfeld, Tim; Möller, Torsten; Hege, Hans-Christian; Weissenböck, Johannes; De Beenhouwer, Jan; Sijbers, Jan; Kastner, Johann; Heinzl, Christoph (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present visual analysis methods for the evaluation of tomographic fiber reconstruction algorithms by means of analysis, visual debugging and comparison of reconstructed fibers in materials science. The methods are ...
    • Visual-Interactive Preprocessing of Multivariate Time Series Data 

      Bernard, Jürgen; Hutter, Marco; Reinemuth, Heiko; Pfeifer, Hendrik; Bors, Christian; Kohlhammer, Jörn (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Pre-processing is a prerequisite to conduct effective and efficient downstream data analysis. Pre-processing pipelines often require multiple routines to address data quality challenges and to bring the data into a usable ...
    • Visualization of Equivalence in 2D Bivariate Fields 

      Zheng, Boyan; Rieck, Bastian; Leitte, Heike; Sadlo, Filip (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we show how the equivalence property leads to the novel concept of equivalent regions in mappings from Rn to Rn. We present a technique for obtaining these regions both in the domain and the codomain of such ...
    • 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 ...
    • Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study 

      Giesen, Joachim; Klaus, Julien; Laue, Sören; Schreck, Ferdinand (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The development of custom interactive visualization tools for specific domains and applications has been made much simpler recently by a surge of visualization tools, libraries and frameworks. Most of these tools are ...
    • Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization 

      Choi, Jinho; Jung, Sanghun; Park, Deok Gun; Choo, Jaegul; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The majority of visualizations on the web are still stored as raster images, making them inaccessible to visually impaired users. We propose a deep-neural-network-based approach that automatically recognizes key elements ...
    • Wavelet Flow: Optical Flow Guided Wavelet Facial Image Fusion 

      Ding, Hong; Yan, Qingan; Fu, Gang; Xiao, Chunxia (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Estimating the correspondence between the images using optical flow is the key component for image fusion, however, computing optical flow between a pair of facial images including backgrounds is challenging due to large ...
    • What's in a Face? Metric Learning for Face Characterization 

      Sendik, Omry; Lischinski, Dani; Cohen-Or, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a method for determining which facial parts (mouth, nose, etc.) best characterize an individual, given a set of that individual's portraits. We introduce a novel distinctiveness analysis of a set of portraits, ...
    • Wide Gamut Spectral Upsampling with Fluorescence 

      Jung, Alisa; Wilkie, Alexander; Hanika, Johannes; Jakob, Wenzel; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Physically based spectral rendering has become increasingly important in recent years. However, asset textures in such systems are usually still drawn or acquired as RGB tristimulus values. While a number of RGB to spectrum ...