Browsing Computer Graphics & Visual Computing (CGVC) 2018 by Subject "Computing methodologies"

Now showing items 1-11 of 11

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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) ...

    • 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 ...

    • 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 ...

    • 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. ...

    • 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 ...

    • 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. ...