Stuttgart, Germany, October 10 – 12, 2018


Rendering
A Fast and Efficient Semi-guided Algorithm for Flat Coloring Line-arts
Sébastien Fourey, David Tschumperlé, and David Revoy
Interactive Interpolation of Metallic Effect Car Paints
Tim Golla and Reinhard Klein
Augmented Reality
Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices
Rafael Monroy, Matis Hudon, and Aljosa Smolic
WithTeeth: Denture Preview in Augmented Reality
Aleksandr Amirkhanov, Artem Amirkhanov, Matthias Bernhard, Zsolt Toth, Sabine Stiller, Andreas Geier, Eduard Gröller, and Gabriel Mistelbauer
Image Analysis and Visualization
The Parallel Eigenvectors Operator
Timo Oster, Christian Rössl, and Holger Theisel
Automatic Generation of Saliency-based Areas of Interest for the Visualization and Analysis of Eye-tracking Data
Wolfgang Fuhl, Thomas Kuebler, Thiago Santini, and Enkelejda Kasneci
Automatic Infant Face Verification via Convolutional Neural Networks
Leslie Wöhler, Hangjian Zhang, Georgia Albuquerque, and Marcus Magnor
Joint Session with GCPR I
Parameter Space Comparison of Inertial Particle Models
Jérôme Holbein and Tobias Günther
Scanning
Efficient Global Registration for Nominal/Actual Comparisons
Sarah Berkei, Max Limper, Christian Hörr, and Arjan Kuijper
Hierarchical Additive Poisson Disk Sampling
Alexander Dieckmann and Reinhard Klein
Data Structures and Volumes
Fast and Dynamic Construction of Bounding Volume Hierarchies Based on Loose Octrees
Feng Gu, Johannes Jendersie, and Thorsten Grosch
Compressed Bounding Volume Hierarchies for Efficient Ray Tracing of Disperse Hair
Magdalena Martinek, Marc Stamminger, Nikolaus Binder, and Alexander Keller
Efficient Subsurface Scattering Simulation for Time-of-Flight Sensors
David Bulczak and Andreas Kolb
Information and Geographic Visualization
Identifying Similar Eye Movement Patterns with t-SNE
Michael Burch
Correlated Point Sampling for Geospatial Scalar Field Visualization
Riccardo Roveri, Dirk J. Lehmann, Markus Gross, and Tobias Günther
Clustering for Stacked Edge Splatting
Moataz Abdelaal, Marcel Hlawatsch, Michael Burch, and Daniel Weiskopf
Joint Session with GCPR II
Painterly Rendering using Limited Paint Color Palettes
Thomas Lindemeier, Marvin Gülzow, and Oliver Deussen
Scientific Visualization
Web-based Volume Rendering using Progressive Importance-based Data Transfer
Finian Mwalongo, Michael Krone, Guido Reina, and Thomas Ertl
Interactive Visual Exploration of Line Clusters
Mathias Kanzler and Rüdiger Westermann

Recent Submissions

  • Interactive Visual Exploration of Line Clusters 

    Kanzler, Mathias; Westermann, Rüdiger (The Eurographics Association, 2018)
    We propose a visualization approach to interactively explore the structure of clusters of lines in 3D space. We introduce cluster consistency fields to indicate the local consistency of the lines in a cluster depending on ...
  • Web-based Volume Rendering using Progressive Importance-based Data Transfer 

    Mwalongo, Finian; Krone, Michael; Reina, Guido; Ertl, Thomas (The Eurographics Association, 2018)
    WebGL 2.0 makes it possible to implement efficient volume rendering that runs in browsers using 3D textures and complex fragment shaders. However, a typical bottleneck for web-based volume rendering is the size of the ...
  • Painterly Rendering using Limited Paint Color Palettes 

    Lindemeier, Thomas; Gülzow, J. Marvin; Deussen, Oliver (The Eurographics Association, 2018)
    We present a painterly rendering method for digital painting systems as well as visual feedback based painting machines that automatically extracts color palettes from images and computes mixture recipes for these from a ...
  • Clustering for Stacked Edge Splatting 

    Abdelaal, Moataz; Hlawatsch, Marcel; Burch, Michael; Weiskopf, Daniel (The Eurographics Association, 2018)
    We present a time-scalable approach for visualizing dynamic graphs. By adopting bipartite graph layouts known from parallel edge splatting, individual graphs are horizontally stacked by drawing partial edges, leading to ...
  • Correlated Point Sampling for Geospatial Scalar Field Visualization 

    Roveri, Riccardo; Lehmann, Dirk J.; Gross, Markus; Günther, Tobias (The Eurographics Association, 2018)
    Multi-variate visualizations of geospatial data often use combinations of different visual cues, such as color and texture. For textures, different point distributions (blue noise, regular grids, etc.) can encode nominal ...
  • Identifying Similar Eye Movement Patterns with t-SNE 

    Burch, Michael (The Eurographics Association, 2018)
    In this paper we describe an approach based on the t-distributed stochastic neighbor embedding (t-SNE) focusing on projecting high-dimensional eye movement data to two dimensions. The lower-dimensional data is then represented ...
  • Efficient Subsurface Scattering Simulation for Time-of-Flight Sensors 

    Bulczak, David; Kolb, Andreas (The Eurographics Association, 2018)
    Today, amplitude modulated continuouswave (AMCW) Time-of-Flight (ToF) range cameras are ubiquitous devices that are employed in many fields of application, such as robotics, automotive industry, and home entertainment. ...
  • Compressed Bounding Volume Hierarchies for Efficient Ray Tracing of Disperse Hair 

    Martinek, Magdalena; Stamminger, Marc; Binder, Nikolaus; Keller, Alexander (The Eurographics Association, 2018)
    Ray traced human hair is becoming more and more ubiquitous in photorealistic image synthesis. Despite hierarchical data structures for accelerated ray tracing, performance suffers from the bad separability inherent with ...
  • Fast and Dynamic Construction of Bounding Volume Hierarchies Based on Loose Octrees 

    Gu, Feng; Jendersie, Johannes; Grosch, Thorsten (The Eurographics Association, 2018)
    Many fast methods for constructing BVHs on the GPU only use the centroids of primitive bounding boxes and ignore the actual spatial extent of each primitive. We present a fast new way and a memory-efficient implementation ...
  • Hierarchical Additive Poisson Disk Sampling 

    Dieckmann, Alexander; Klein, Reinhard (The Eurographics Association, 2018)
    Generating samples of point clouds and meshes with blue noise characteristics is desirable for many applications in rendering and geometry processing. Working with laser-scanned or lidar point clouds, we usually find region ...
  • Efficient Global Registration for Nominal/Actual Comparisons 

    Berkei, Sarah; Limper, Max; Hörr, Christian; Kuijper, Arjan (The Eurographics Association, 2018)
    We investigate global registration methods for Nominal/Actual comparisons, using precise, high-resolution 3D scans. First we summarize existing approaches and requirements for this field of application. We then demonstrate ...
  • Parameter Space Comparison of Inertial Particle Models 

    Holbein, Jérôme; Günther, Tobias (The Eurographics Association, 2018)
    In many meteorological and engineering problems, the motion of finite-sized objects of non-zero mass plays a crucial role, such as in air pollution, desertification, stirring of dust during helicopter navigation, or droplets ...
  • Automatic Infant Face Verification via Convolutional Neural Networks 

    Wöhler, Leslie; Zhang, Hangjian; Albuquerque, Georgia; Magnor, Marcus (The Eurographics Association, 2018)
    In this paper, we investigate how convolutional neural networks (CNN) can learn to solve the verification task for faces of young children. One of the main issues of automatic face verification approaches is how to deal ...
  • Automatic Generation of Saliency-based Areas of Interest for the Visualization and Analysis of Eye-tracking Data 

    Fuhl, Wolfgang; Kuebler, Thomas; Santini, Thiago; Kasneci, Enkelejda (The Eurographics Association, 2018)
    Areas of interest (AOIs) are a powerful basis for the analysis and visualization of eye-tracking data. They allow to relate eyetracking metrics to semantic stimulus regions and to perform further statistics. In this work, ...
  • The Parallel Eigenvectors Operator 

    Oster, Timo; Rössl, Christian; Theisel, Holger (The Eurographics Association, 2018)
    The parallel vectors operator is a prominent tool in visualization that has been used for line feature extraction in a variety of applications such as ridge and valley lines, separation and attachment lines, and vortex ...
  • WithTeeth: Denture Preview in Augmented Reality 

    Amirkhanov, Aleksandr; Amirkhanov, Artem; Bernhard, Matthias; Toth, Zsolt; Stiller, Sabine; Geier, Andreas; Gröller, Eduard; Mistelbauer, Gabriel (The Eurographics Association, 2018)
    Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used ...
  • Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices 

    Monroy, Rafael; Hudon, Matis; Smolic, Aljosa (The Eurographics Association, 2018)
    Augmented Reality is a topic of foremost interest nowadays. Its main goal is to seamlessly blend virtual content in real-world scenes. Due to the lack of computational power in mobile devices, rendering a virtual object ...
  • Interactive Interpolation of Metallic Effect Car Paints 

    Golla, Tim; Klein, Reinhard (The Eurographics Association, 2018)
    Metallic car paints are visually complex materials that, among others effects, exhibit a view-dependent metallic sparkling, which is particularly difficult to recreate in computer graphics. While capturing real-world ...
  • A Fast and Efficient Semi-guided Algorithm for Flat Coloring Line-arts 

    Fourey, Sébastien; Tschumperlé, David; Revoy, David (The Eurographics Association, 2018)
    We present a fast and efficient algorithm for the semi-supervised colorization of line-art images (e.g. hand-made cartoons), based on two successive steps: 1. A geometric analysis of the stroke contours, and their closing ...
  • Frontmatter: VMV 2018: Vision, Modeling, and Visualization 

    Beck, Fabian; Dachsbacher, Carsten; Sadlo, Filip (The Eurographics Association, 2018)