Browsing Computer Graphics & Visual Computing (CGVC) 2023 by Title

Now showing items 1-20 of 23

    • Augmenting Anomaly Detection Datasets with Reactive Synthetic Elements 

      Nikolov, Ivan (The Eurographics Association, 2023)
      Automatic anomaly detection for surveillance purposes has become an integral part of accident prevention and early warning systems. The lack of sufficient real datasets for training and testing such detectors has pushed a ...

    • AUPE: An Emulator for the ExoMars PanCam Instrument 

      Ladegaard, Ariel; Gunn, Matt; Miles, Helen C.; Tyler, Laurence (The Eurographics Association, 2023)
      The European Space Agency's ExoMars mission will be the first European-led planetary rover mission and much preparation and rehearsal is required, both for the personnel involved and the data processing pipelines and ...

    • Automatic Balance Assessment Using Smartphone and AI 

      Sganga, Magalí; Rozmiarek, Patrycja; Ravera, Emiliano; Akanyeti, Otar; Povina, Federico Villagra (The Eurographics Association, 2023)
      Postural control assessment is essential for understanding human biomechanics in both static and dynamic situations. The relationship between the center of mass (CoM), center of pressure (CoP), and the base of support (BoS) ...

    • Automatic Detection of Topological Changes in Geometric Modeling Operations 

      Gaide, Maxime; Marcheix, David; Arnould, Agnès; Skapin, Xavier; Belhaouari, Hakim; Jean, Stéphane (The Eurographics Association, 2023)
      Advanced geometric modelers require the detection of topological changes caused by modeling operations such as edge creation, face splitting or volume merging... Such a detection can be dynamically performed by comparing ...

    • Classifying User Interface Accessibility for Colourblind Users 

      Jamil, Amaan; Denes, Gyorgy (The Eurographics Association, 2023)
      Colour vision deficiency (CVD, colourblindness) is the failure or decreased ability to distinguish between certain colours even under normal lighting conditions. There are an estimated 300 million people worldwide with ...

    • Computer Graphics and Visual Computing (CGVC): Frontmatter 

      Hunter, David; Peter Vangorp (The Eurographics Association, 2023)

    • Crafting Visual Narratives: A Case Study on Developing an Engaging Visualisation Poster Using U.S. Immigration Data 

      Ogbonda, Ebube Glory; Butcher, Peter W. S.; Roberts, Jonathan C. (The Eurographics Association, 2023)
      This paper presents a design study that elucidates the process of creating an engaging visualisation poster using U.S. immigration data as the focal point. The primary objective is to demonstrate the methodical journey of ...

    • Differentiable Procedural Models for Single-view 3D Mesh Reconstruction 

      Garifullin, Albert; Maiorov, Nikolay; Frolov, Vladimir (The Eurographics Association, 2023)
      Most existing solutions for single-view 3D object reconstruction are based on deep learning with implicit or voxel representations of the scene and are unable to produce detailed and high-quality meshes and textures that ...

    • Exploring Language Pedagogy with Virtual Reality and Artificial Intelligence 

      Michael, Brandon; Aburumman, Nadine (The Eurographics Association, 2023)
      Virtual Reality (VR) is a highly immersive and interactive experience that renders users to be engrossed in a 3D virtual environment. The recent technological advancements with high-resolution headset display, and accurate ...

    • An Image-based Model for 3D Shape Quality Measure 

      Alhamazani, Fahd; Rosin, Paul L.; Lai, Yu-Kun (The Eurographics Association, 2023)
      In light of increased research on 3D shapes and the increased processing capability of GPUs, there has been a significant increase in available 3D applications. In many applications, assessment of perceptual quality of 3D ...

    • Immersive WebXR Data Visualisation Tool 

      Ogbonda, Ebube Glory (The Eurographics Association, 2023)
      This paper presents a study of a WebXR data visualisation tool designed for the immersive exploration of complex datasets in a 3D environment. The application developed using AFrame, D3.js, and JavaScript enables an ...

    • Inpainting Normal Maps for Lightstage data 

      Zuo, Hancheng; Tiddeman, Bernard (The Eurographics Association, 2023)
      This paper presents a new method for inpainting of normal maps using a generative adversarial network (GAN) model. Normal maps can be acquired from a lightstage, and when used for performance capture, there is a risk of ...

    • Interweaving Data and Stories: A Case Study on Unveiling the Human Dimension of U.S. Refugee Movements through Narrative Visualisation 

      Ogbonda, Ebube Glory; Roberts, Jonathan C.; Butcher, Peter W. S. (The Eurographics Association, 2023)
      In response to the escalating global refugee crisis, we present a case-study of developing an advanced tool for interpreting high-dimensional refugee data. Developed using Mapbox and D3.js, our interactive visualisation ...

    • Intra-Model Smoothing Using Depth Aware Multi-Sample Anti-Aliasing for Deferred Rendering Pipelines 

      Magnussen, Birk Martin (The Eurographics Association, 2023)
      Subpixel geometry often causes lighting artifacts. In some cases, post-process anti-aliasing algorithms are not sufficiently able to smooth the resulting image. For forward rendering pipelines, multi-sample anti-aliasing ...

    • Investigating Deep Learning for Identification of Crabs and Lobsters on Fishing Boats 

      Iftikhar, Muhammad; Tiddeman, Bernard; Neal, Marie; Hold, Natalie; Neal, Mark (The Eurographics Association, 2023)
      This paper describes a collaboration between marine and computer scientists to improve fisheries data collection. We evaluate deep learning (DL)-based solutions for identifying crabs and lobsters onboard fishing boats. A ...

    • Just Noticeable Difference of Dead Pixels in Monochrome Computer-Generated Holograms 

      Lindfield, Nicholas; Carey, Remington; Hulusic, Vedad; Milne, Darran; Tang, Wen (The Eurographics Association, 2023)
      Computer-generated holography (CGH) is a method for replicating scenes that incorporates depth, making them potentially much more realistic than traditional displays. Because CGH uses diffractive optics to generate scenes, ...

    • Less is more: Focused Design and Problem Framing in Visualisation - Developing the ColloCaid Collocation Editor 

      Roberts, Jonathan C.; Butcher, Peter W. S.; Rees, Geraint; Lew, Robert; Sharma, Nirwan; Frankenberg-Garcia, Anna (The Eurographics Association, 2023)
      One of the challenges when developing a visualisation tool, especially at the start of a research project, is to amalgamate numerous requirements and various possibilities and decide what to create. With software development, ...

    • Model Reevaluation Based on Graph Transformation Rules 

      Gaide, Maxime; Marcheix, David; Arnould, Agnès; Skapin, Xavier; Belhaouari, Hakim; Jean, Stéphane (The Eurographics Association, 2023)
      In this paper, we extend the scope of naming problem studies to encompass rule-based graph transformation modeling systems. We propose a novel persistent naming method that capitalizes on the formalized operations of ...

    • RPS-Net: Indoor Scene Point Cloud Completion using RBF-Point Sparse Convolution 

      Wang, Tao; Wu, Jing; Ji, Ze; Lai, Yu-Kun (The Eurographics Association, 2023)
      We introduce a novel approach to the completion of 3D scenes, which is a practically important task as captured point clouds of 3D scenes tend to be incomplete due to limited sensor range and occlusion. We address this ...

    • Strategies for More Energy Efficient Volume Analysis and Direct Volume Rendering Descriptor Computation 

      Hauenstein, Jacob D.; Newman, Timothy S. (The Eurographics Association, 2023)
      A study of energy use (in an x86-class environment) for computation of descriptors used in analysis and in one common scientific visualisation strategy, direct volume rendering (DVR), of volumetric data is presented. Focus ...