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Browsing 41-Issue 6 by Title

Now showing items 23-32 of 32

    • Seeking Patterns of Visual Pattern Discovery for Knowledge Building 

      Andrienko, N.; Andrienko, G.; Chen, S.; Fisher, B. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Currently, the methodological and technical developments in visual analytics, as well as the existing theories, are not sufficiently grounded by empirical studies that can provide an understanding of the processes of visual ...

    • SGLBP: Subgraph‐based Local Binary Patterns for Feature Extraction on Point Clouds 

      Guo, Bao; Zhang, Yuhe; Gao, Jian; Li, Chunhui; Hu, Yao (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Extraction for points that can outline the shape of a point cloud is an important task for point cloud processing in various applications. The topology information of the neighbourhood of a point usually contains sufficient ...

    • Simplification of 2D Polygonal Partitions via Point‐line Projective Duality, and Application to Urban Reconstruction 

      Vuillamy, J.; Lieutier, A.; Lafarge, F.; Alliez, P. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We address the problem of simplifying two‐dimensional polygonal partitions that exhibit strong regularities. Such partitions are relevant for reconstructing urban scenes in a concise way. Preserving long linear structures ...

    • State of the Art in Computational Mould Design 

      Alderighi, T.; Malomo, L.; Auzinger, T.; Bickel, B.; Cignoni, P.; Pietroni, N. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Moulding refers to a set of manufacturing techniques in which a mould, usually a cavity or a solid frame, is used to shape a liquid or pliable material into an object of the desired shape. The popularity of moulding comes ...

    • SVBRDF Recovery from a Single Image with Highlights Using a Pre‐trained Generative Adversarial Network 

      Wen, Tao; Wang, Beibei; Zhang, Lei; Guo, Jie; Holzschuch, Nicolas (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Spatially varying bi‐directional reflectance distribution functions (SVBRDFs) are crucial for designers to incorporate new materials in virtual scenes, making them look more realistic. Reconstruction of SVBRDFs is a ...

    • TopoNet: Topology Learning for 3D Reconstruction of Objects of Arbitrary Genus 

      Ben Charrada, Tarek; Tabia, Hedi; Chetouani, Aladine; Laga, Hamid (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We propose a deep reinforcement learning‐based solution for the 3D reconstruction of objects of complex topologies from a single RGB image. We use a template‐based approach. However, unlike previous template‐based methods, ...

    • Transforming an Adjacency Graph into Dimensioned Floorplan Layouts 

      Bisht, Sumit; Shekhawat, Krishnendra; Upasani, Nitant; Jain, Rahil N.; Tiwaskar, Riddhesh Jayesh; Hebbar, Chinmay (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      In recent times, researchers have proposed several approaches for building floorplans using parametric/generative design, shape grammars, machine learning, AI, . This paper aims to demonstrate a mathematical approach for ...

    • Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies 

      Hwang, Jaepyung; Park, Gangrae; Kwon, Taesoo; Ishii, Shin (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      In this study, we focus on developing a motion synthesis framework that generates a natural transition motion between two different behaviours to interact with a moving object. Specifically, the proposed framework generates ...

    • Visual Analytics of Multivariate Intensive Care Time Series Data 

      Brich, N.; Schulz, C.; Peter, J.; Klingert, W.; Schenk, M.; Weiskopf, D.; Krone, M. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We present an approach for visual analysis of high‐dimensional measurement data with varying sampling rates as routinely recorded in intensive care units. In intensive care, most assessments not only depend on one single ...

    • Wide Gamut Moment‐based Constrained Spectral Uplifting 

      Tódová, L.; Wilkie, A.; Fascione, L. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Spectral rendering is increasingly used in appearance‐critical rendering workflows due to its ability to predict colour values under varying illuminants. However, directly modelling assets via input of spectral data is a ...