Now showing items 1-20 of 267

    • Evocube: A Genetic Labelling Framework for Polycube‐Maps 

      Dumery, C.; Protais, F.; Mestrallet, S.; Bourcier, C.; Ledoux, F. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Polycube‐maps are used as base‐complexes in various fields of computational geometry, including the generation of regular all‐hexahedral meshes free of internal singularities. However, the strict alignment constraints ...
    • Learning Human Viewpoint Preferences from Sparsely Annotated Models 

      Hartwig, S.; Schelling, M.; Onzenoodt, C. v.; Vázquez, P.‐P.; Hermosilla, P.; Ropinski, T. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      View quality measures compute scores for given views and are used to determine an optimal view in viewpoint selection tasks. Unfortunately, despite the wide adoption of these measures, they are rather based on computational ...
    • Real‐Time FE Simulation for Large‐Scale Problems Using Precondition‐Based Contact Resolution and Isolated DOFs Constraints 

      Zeng, Z.; Cotin, S.; Courtecuisse, H. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      This paper presents a fast method to compute large‐scale problems in real‐time finite element simulations in the presence of contact and friction. The approach uses a precondition‐based contact resolution that performs a ...
    • 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 ...
    • Rigid Registration of Point Clouds Based on Partial Optimal Transport 

      Qin, Hongxing; Zhang, Yucheng; Liu, Zhentao; Chen, Baoquan (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      For rigid point cloud data registration, algorithms based on soft correspondences are more robust than the traditional ICP method and its variants. However, point clouds with severe outliers and missing data may lead to ...
    • 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 ...
    • Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids 

      Bekos, M.A.; Dekker, D.J.C.; Frank, F.; Meulemans, W.; Rodgers, P.; Schulz, A.; Wessel, S. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Set systems can be visualized in various ways. An important distinction between techniques is whether the elements have a spatial location that is to be used for the visualization; for example, the elements are cities on ...
    • Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models 

      Jiang, Diqiong; Jin, Yiwei; Zhang, Fang‐Lue; Lai, Yu‐Kun; Deng, Risheng; Tong, Ruofeng; Tang, Min (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Many recent works have reconstructed distinctive 3D face shapes by aggregating shape parameters of the same identity and separating those of different people based on parametric models (e.g. 3D morphable models (3DMMs)). ...
    • 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, ...
    • Non‐Isometric Shape Matching via Functional Maps on Landmark‐Adapted Bases 

      Panine, Mikhail; Kirgo, Maxime; Ovsjanikov, Maks (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We propose a principled approach for non‐isometric landmark‐preserving non‐rigid shape matching. Our method is based on the functional map framework, but rather than promoting isometries we focus on near‐conformal maps ...
    • 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 ...
    • 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 ...
    • RfX: A Design Study for the Interactive Exploration of a Random Forest to Enhance Testing Procedures for Electrical Engines 

      Eirich, J.; Münch, M.; Jäckle, D.; Sedlmair, M.; Bonart, J.; Schreck, T. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Random Forests (RFs) are a machine learning (ML) technique widely used across industries. The interpretation of a given RF usually relies on the analysis of statistical values and is often only possible for data analytics ...
    • JOKR: Joint Keypoint Representation for Unsupervised Video Retargeting 

      Mokady, R.; Tzaban, R.; Benaim, S.; Bermano, A.H.; Cohen‐Or, D. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      In unsupervised video retargeting, content is transferred from one video to another while preserving the original appearance and style, without any additional annotations. While this challenge has seen substantial advancements ...
    • NeRF‐Tex: Neural Reflectance Field Textures 

      Baatz, H.; Granskog, J.; Papas, M.; Rousselle, F.; Novák, J. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We investigate the use of neural fields for modelling diverse mesoscale structures, such as fur, fabric and grass. Instead of using classical graphics primitives to model the structure, we propose to employ a versatile ...
    • Event‐based Dynamic Graph Drawing without the Agonizing Pain 

      Arleo, A.; Miksch, S.; Archambault, D. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Temporal networks can naturally model real‐world complex phenomena such as contact networks, information dissemination and physical proximity. However, nodes and edges bear real‐time coordinates, making it difficult to ...
    • Fast Neural Representations for Direct Volume Rendering 

      Weiss, S.; Hermüller, P.; Westermann, R. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Despite the potential of neural scene representations to effectively compress 3D scalar fields at high reconstruction quality, the computational complexity of the training and data reconstruction step using scene representation ...
    • Error Analysis of Photometric Stereo with Near Quasi‐Point Lights 

      Chen, Q.; Ren, Y.; Zhao, Z.; Tao, W.; Zhao, H. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      The shape recovery quality of photometric stereo is sensitive to complicated error factors under close range lighting of quasi‐point lights. However, the error performance of photometric stereo under this practical scenario ...
    • Delaunay Painting: Perceptual Image Colouring from Raster Contours with Gaps 

      Parakkat, Amal Dev; Memari, Pooran; Cani, Marie‐Paule (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We introduce Delaunay Painting, a novel and easy‐to‐use method to flat‐colour contour‐sketches with gaps. Starting from a Delaunay triangulation of the input contours, triangles are iteratively filled with the appropriate ...
    • Harmonics Virtual Lights: Fast Projection of Luminance Field on Spherical Harmonics for Efficient Rendering 

      Mézières, Pierre; Desrichard, François; Vanderhaeghe, David; Paulin, Mathias (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      In this paper, we introduce harmonics virtual lights (HVL), to model indirect light sources for interactive global illumination of dynamic 3D scenes. Virtual point lights (VPL) are an efficient approach to define indirect ...