Now showing items 1-20 of 23

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Combining Accumulated Frame Differencing and Corner Detection for Motion Detection 

      Algethami, Nahlah; Redfern, Sam (The Eurographics Association, 2018)
      Detecting and tracking people in a meeting room is very important for many applications. In order to detect people in a meeting room with no prior knowledge (e.g. background model) and regardless of whether their motion ...
    • 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. ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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) ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Topological Connected Chain Modelling for Classification of Mammographic Microcalcification 

      George, Minu; Denton, Erika R. E.; Zwiggelaar, Reyer (The Eurographics Association, 2018)
      Breast cancer continues to be the most common type of cancer among women. Early detection of breast cancer is key to effective treatment. The presence of clusters of fine, granular microcalcifications in mammographic images ...
    • Frontmatter: Computer Graphics and Visual Computing (CGVC) 

      Tam, Gary K. L.; Vidal, Franck (The Eurographics Association, 2018)
    • 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 ...