Now showing items 6710-6729 of 17315

    • 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 ...
    • Groupwise Shape Correspondence Refinement with a Region of Interest Focus 

      Galmiche, Pierre; Seo, Hyewon (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      While collections of scan shapes are becoming more prevalent in many real-world applications, finding accurate and dense correspondences across multiple shapes remains a challenging task. In this work, we introduce a new ...
    • Group‐in‐a‐Box Meta‐Layouts for Topological Clusters and Attribute‐Based Groups: Space‐Efficient Visualizations of Network Communities and Their Ties 

      Chaturvedi, S.; Dunne, C.; Ashktorab, Z.; Zachariah, R.; Shneiderman, B. (The Eurographics Association and John Wiley and Sons Ltd., 2014)
      An important part of network analysis is understanding community structures like topological clusters and attribute‐based groups. Standard approaches for showing communities using colour, shape, rectangular bounding boxes, ...
    • Grouse: Feature-Based, Steerable Graph Hierarchy Exploration 

      Archambault, Daniel; Munzner, Tamara; Auber, David (The Eurographics Association, 2007)
      Grouse is a feature-based approach to steerable exploration of a graph and an associated hierarchy. Steerability allows exploration to begin immediately, rather than requiring a costly layout of the entire graph as an ...
    • Growing and Animating Polygonal Models of Animals 

      Walter, Marcelo; Fournier, Alain (Blackwell Publishers Ltd and the Eurographics Association, 1997)
      While there exist many computer models of animal bodies, as polygonal meshes and parametric surfaces, these are difficult to modify to take growth into account, or to animate. Growth data available from the literature ...
    • Growing Cell Structures Learning a Progressive Mesh During Surface Reconstruction - A Top-Down Approach 

      Vierjahn, Tom; Lorenz, Guido; Mostafawy, Sina; Hinrichs, Klaus (The Eurographics Association, 2012)
      Growing Cell Structures (GCS) have been proven to be suitable for surface reconstruction from unstructured point clouds. The reconstructed triangle mesh can be represented compactly as a progressive mesh with integrated ...
    • Growing Circles: A Region Growing Algorithm for Unstructured Grids and Non-aligned Boundaries 

      Dabbaghchian, Saeed (The Eurographics Association, 2018)
      Detecting the boundaries of an enclosed region is a problem which arises in some applications such as the human upper airway modeling. Using of standard algorithms fails because of the inevitable errors, i.e. gaps and ...
    • Growing Least Squares for the Analysis of Manifolds in Scale-Space 

      Mellado, Nicolas; Guennebaud, Gaël; Barla, Pascal; Reuter, Patrick; Schlick, Christophe (The Eurographics Association and Blackwell Publishing Ltd., 2012)
      We present a novel approach to the multi-scale analysis of point-sampled manifolds of co-dimension 1. It is based on a variant of Moving Least Squares, whereby the evolution of a geometric descriptor at increasing scales ...
    • Grupo Colaborativo Transportando Objetos 

      Cerro, Angel Rodríguez; Durá, Rafael J. Martinez (The Eurographics Association, 2009)
      En computación gráfica, muchos investigadores han estudiado el problema de la navegación en entornos virtuales, pero ha sido en las últimas décadas cuando la formación de grupos de agentes ha tomado cierta relevancia. Se ...
    • GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements 

      Mateo, Carlos M.; Gil, Pablo; Torres, Fernando (The Eurographics Association, 2017)
      This paper presents a new 3D global feature descriptor for object recognition using shape representation on organized point clouds. Object recognition applications usually require significant speed and memory. The proposed ...
    • GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map 

      Ma, Chao; Zhao, Ye; AL-Dohuki, Shamal; Yang, Jing; Ye, Xinyue; Kamw, Farah; Amiruzzaman, Md (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Data containing geospatial semantics, such as geotagged tweets, travel blogs, and crime reports, associates natural language texts with geographical locations. This paper presents a lens-based visual interaction technique, ...
    • Guest Editorial 

      Joan-Arinyo, Robert; Pereira, Joao Madeiras (The Eurographics Association and Blackwell Publishing Ltd, 2010)
    • Guest Editorial 

      Unknown author (The Eurographics Association and Blackwell Publishing Ltd, 2010)
    • Guest Editorial: Selected Papers from the 18th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2005) 

      Andreia, Maria; Rodrigues, Formico (The Eurographics Association and Blackwell Publishing Ltd, 2006)
    • GUI Behavior from Source Code Analysis 

      Silva, João C.; Silva, Carlos E.; Campos, José C.; Saraiva, João A. (The Eurographics Association, 2021)
      When developing interactive applications, considering the correctness of graphical user interfaces (GUIs) code is essential. GUIs are critical components of today's software, and contemporary software tools do not provide ...
    • GUI for XML Documents Access using Query-By-Example Paradigm 

      Fonte, Daniela; Cruz, Daniela da; Henriques, Pedro Rangel; Gançarski, Alda Lopes (The Eurographics Association, 2021)
      In the context of our research project, we propose an interactive tool (GuessXQ) to perform the access to the information in a collection of eXtensible Markup Language (XML) documents. Due to the complex nature of those ...
    • Guidance for Multi-Type Entity Graphs from Text Collections 

      Müller, Martin; Ballweg, Kathrin; Landesberger, Tatiana von; Yimam, Seid; Fahrer, Uli; Biemann, Chris; Rosenbach, Marcel; Regneri, Michaela; Ulrich, H. (The Eurographics Association, 2017)
      The visual exploration of graphs encoding relationships between entities of multiple types (e.g., persons, locations,...) supports journalists in finding newsworthy information in large text collections. Journalists may ...
    • Guidance or No Guidance? A Decision Tree Can Help 

      Ceneda, Davide; Gschwandtner, Theresia; May, Thorsten; Miksch, Silvia; Streit, Marc; Tominski, Christian (The Eurographics Association, 2018)
      Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ...
    • Guide Me in Analysis: A Framework for Guidance Designers 

      Ceneda, Davide; Andrienko, Natalia; Andrienko, Gennady; Gschwandtner, Theresia; Miksch, Silvia; Piccolotto, Nikolaus; Schreck, Tobias; Streit, Marc; Suschnigg, Josef; Tominski, Christian (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Guidance is an emerging topic in the field of visual analytics. Guidance can support users in pursuing their analytical goals more efficiently and help in making the analysis successful. However, it is not clear how guidance ...
    • Guided Analysis of Cardiac 4D PC-MRI Blood Flow Data 

      Köhler, Benjamin; Preim, Uta; Grothoff, Matthias; Gutberlet, Matthias; Fischbach, Katharina; Preim, Bernhard (The Eurographics Association, 2015)
      Four-dimensional phase-contrast magnetic resonance imaging (4D PC-MRI) allows the non-invasive acquisition of temporally resolved, three-dimensional blood flow information. Quantitative and qualitative data analysis helps ...