• 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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