Swansea University, United Kingdom, 13th - 14th September 2018


Vision and Learning
Topological Connected Chain Modelling for Classification of Mammographic Microcalcification
Minu George, Erika R. E. Denton, and Reyer Zwiggelaar
Combining Accumulated Frame Differencing and Corner Detection for Motion Detection
Nahlah Algethami and Sam Redfern
Groupwise Non-rigid Image Alignment With Graph-based Initialisation
Ahmad Aal-Yhia, Paul Malcolm, Otar Akanyeti, Reyer Zwiggelaar, and Bernard Tiddeman
A Deep Learning Approach to No-Reference Image Quality Assessment For Monte Carlo Rendered Images
Joss Whittle and Mark W. Jones
Graphics
Keys-to-Sim: Transferring Hand-Crafted Key-framed Animations to Simulated Figures using Wide Band Stochastic Trajectory Optimization
Dominik Borer, Martin Guay, and Robert W. Sumner
Image Based Proximate Shadow Retargeting
Llogari Casas, Matthias Fauconneau, Maggie Kosek, Kieran Mclister, and Kenny Mitchell
Physically-based Sticky Lips
Matthew Leach and Steve Maddock
Screen Space Particle Selection
Marcel Köster and Antonio Krüger
Visualization I
GPU-Assisted Scatterplots for Millions of Call Events
Dylan Rees, Richard C. Roberts, Robert S. Laramee, Paul Brookes, Tony D'Cruze, and Gary A. Smith
RiverState: A Visual Metaphor Representing Millions of Time-Oriented State Transitions
Richard C. Roberts, Dylan Rees, Robert S. Laramee, Paul Brookes, Gary A. Smith
Towards a Survey of Interactive Visualization for Education
Elif E. Fırat and Robert S. Laramee
Short Papers
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis
Pascal Laube, Michael Grunwald, Matthias O. Franz, and Georg Umlauf
Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach
Philipp Marten Macho, Nadja Kurz, Adrian Ulges, Robert Brylka, Thomas Gietzen, and Ulrich Schwanecke
Voronoi Tree Maps with Circular Boundaries
Abdalla G. M. Ahmed
Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks
Xin Zhang, Qian Wang, and Ioannis Ivrissimtzis
Evolutionary Interactive Analysis of MRI Gastric Images Using a Multiobjective Cooperative-coevolution Scheme
Shatha F. Al-Maliki, Évelyne Lutton, François Boué, and Franck P. Vidal
Visualization II
Cartograms with Topological Features
Chao Tong, Liam McNabb, and Robert S. Laramee
Spectrum: A C++ Header Library for Colour Map Management
Richard C. Roberts, Liam McNabb, Naif AlHarbi, and Robert S. Laramee
SoS TextVis: A Survey of Surveys on Text Visualization
Mohammad Alharbi and Robert S. Laramee
Visualization III and VR
Knowledge-based Discovery of Transportation Object Properties by Fusing Multi-modal GIS Data
Pedro Eid Maroun, Sudhir Mudur, and Tiberiu Popa
When Size Matters: Towards Evaluating Perceivability of Choropleths
Liam McNabb, Robert S. Laramee, and Max Wilson
Virtual Reality: A Literature Review and Metrics-based Classification
Peter Ankomah and Peter Vangorp

Recent Submissions

  • Virtual Reality: A Literature Review and Metrics-based Classification 

    Ankomah, Peter; Vangorp, Peter (The Eurographics Association, 2018)
    This paper presents a multi-disciplinary overview of research evaluating virtual reality (VR). The main aim is to review and classify VR research based on several metrics: presence and immersion, navigation and interaction, ...
  • Knowledge-based Discovery of Transportation Object Properties by Fusing Multi-modal GIS Data 

    Maroun, Pedro Eid; Mudur, Sudhir; Popa, Tiberiu (The Eurographics Association, 2018)
    3D models of transportation objects like a road, bridge, underpass, etc. are required in many domains including military training, land development, etc. While remote sensed images and LiDaR data can be used to create ...
  • When Size Matters: Towards Evaluating Perceivability of Choropleths 

    McNabb, Liam; Laramee, Robert S.; Wilson, Max (The Eurographics Association, 2018)
    Choropleth maps are an invaluable visualization type for mapping geo-spatial data. One advantage to a choropleth map over other geospatial visualizations such as cartograms is the familiarity of a non-distorted landmass. ...
  • SoS TextVis: A Survey of Surveys on Text Visualization 

    Alharbi, Mohammad; Laramee, Robert S. (The Eurographics Association, 2018)
    Text visualization is a rapidly growing sub-field of information visualization and visual analytics. There are many approaches and techniques introduced every year to address a wide range of tasks and enable researchers ...
  • Spectrum: A C++ Header Library for Colour Map Management 

    Roberts, Richard C.; McNabb, Liam; AlHarbi, Naif; Laramee, Robert S. (The Eurographics Association, 2018)
    The use of colour mapping is fundamental to visualisation research. It acts as an additional layer beyond rendering in the spatial dimensions and provides a link between values in any dataset. When designing and building ...
  • Cartograms with Topological Features 

    Tong, Chao; McNabb, Liam; Laramee, Robert S. (The Eurographics Association, 2018)
    Cartograms are a popular and useful technique for depicting geo-spatial data. Dorling style and rectangular cartograms are very good for facilitating comparisons between unit areas. Each unit area is represented by the ...
  • Evolutionary Interactive Analysis of MRI Gastric Images Using a Multiobjective Cooperative-coevolution Scheme 

    Al-Maliki, Shatha F.; Lutton, Évelyne; Boué, François; Vidal, Franck (The Eurographics Association, 2018)
    In this study, we combine computer vision and visualisation/data exploration to analyse magnetic resonance imaging (MRI) data and detect garden peas inside the stomach. It is a preliminary objective of a larger project ...
  • Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks 

    Zhang, Xin; Wang, Qian; Ivrissimtzis, Ioannis (The Eurographics Association, 2018)
    In this paper we propose and analyse a method for watermarking 3D printed objects, concentrating on the watermark retrieval problem. The method embeds the watermark in a planar region of the 3D printed object in the form ...
  • Voronoi Tree Maps with Circular Boundaries 

    Ahmed, Abdalla G. M. (The Eurographics Association, 2018)
    Voronoi tree maps are an important milestone in information visualization, representing a substantial advancement of the original tree maps concept. We address a less-studied variant of Voronoi tree maps that uses ...
  • Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach 

    Macho, Philipp Marten; Kurz, Nadja; Ulges, Adrian; Brylka, Robert; Gietzen, Thomas; Schwanecke, Ulrich (The Eurographics Association, 2018)
    This paper addresses the automatic segmentation of teeth in volumetric Computed Tomography (CT) scans of the human skull. Our approach is based on a convolutional neural network employing 3D volumetric convolutions. To ...
  • Image Inpainting for High-Resolution Textures using CNN Texture Synthesis 

    Laube, Pascal; Grunwald, Michael; Franz, Matthias O.; Umlauf, Georg (The Eurographics Association, 2018)
    Deep neural networks have been successfully applied to problems such as image segmentation, image super-resolution, coloration and image inpainting. In this work we propose the use of convolutional neural networks (CNN) ...
  • RiverState: A Visual Metaphor Representing Millions of Time-Oriented State Transitions 

    Roberts, Richard C.; Rees, Dylan; Laramee, Robert S.; Brookes, Paul; Smith, Gary A. (The Eurographics Association, 2018)
    Developing a positive relationship between a business and its customers is vital to success. The outcome of any customer interaction can determine future patronage of the business. Many industry's only point of interaction ...
  • Towards a Survey of Interactive Visualization for Education 

    Fırat, Elif E.; Laramee, Robert S. (The Eurographics Association, 2018)
    Graphic design and visualization are becoming fundamental components of education. The use of advanced visual design in pedagogy is growing and evolving rapidly. One of their aims is to enhance the educational process by ...
  • GPU-Assisted Scatterplots for Millions of Call Events 

    Rees, Dylan; Roberts, Richard C.; Laramee, Robert S.; Brookes, Paul; D'Cruze, Tony; Smith, Gary A. (The Eurographics Association, 2018)
    With four percent of the working population employed in call centers in both the United States and the UK, the contact center industry represents a sizable proportion of modern industrial landscapes. As with most modern ...
  • Screen Space Particle Selection 

    Köster, Marcel; Krüger, Antonio (The Eurographics Association, 2018)
    Analyses of large 3D particle datasets typically involve many different exploration and visualization steps. Interactive exploration techniques are essential to reveal and select interesting subsets like clusters or other ...
  • Physically-based Sticky Lips 

    Leach, Matthew; Maddock, Steve (The Eurographics Association, 2018)
    Abstract In this paper, a novel solution is provided for the sticky lip problem in computer facial animation, recreating the way the lips stick together when drawn apart in speech or in the formation of facial expressions. ...
  • Image Based Proximate Shadow Retargeting 

    Casas, Llogari; Fauconneau, Matthias; Kosek, Maggie; Mclister, Kieran; Mitchell, Kenny (The Eurographics Association, 2018)
    We introduce Shadow Retargeting which maps real shadow appearance to virtual shadows given a corresponding deformation of scene geometry, such that appearance is seamlessly maintained. By performing virtual shadow ...
  • Keys-to-Sim: Transferring Hand-Crafted Key-framed Animations to Simulated Figures using Wide Band Stochastic Trajectory Optimization 

    Borer, Dominik; Guay, Martin; Sumner, Robert W. (The Eurographics Association, 2018)
    The vision of fully simulating characters and their environments has the potential to offer rich interactions between characters and objects in the virtual world. However, this introduces a challenging problem similar to ...
  • A Deep Learning Approach to No-Reference Image Quality Assessment For Monte Carlo Rendered Images 

    Whittle, Joss; Jones, Mark W. (The Eurographics Association, 2018)
    In Full-Reference Image Quality Assessment (FR-IQA) images are compared with ground truth images that are known to be of high visual quality. These metrics are utilized in order to rank algorithms under test on their image ...
  • Groupwise Non-rigid Image Alignment With Graph-based Initialisation 

    Aal-Yhia, Ahmad; Malcolm, Paul; Akanyeti, Otar; Zwiggelaar, Reyer; Tiddeman, Bernard (The Eurographics Association, 2018)
    Groupwise image alignment automatically provides non-rigid registration across a set of images. It has found applications in facial image analysis and medical image analysis by automatically generating statistical models ...

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