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Eurographics Digital Library: Recent submissions

  • Choukroun, Yoni; Pai, Gautam; Kimmel, Ron (The Eurographics Association, 2017)
    We introduce a Schrödinger operator for spectral approximation of meshes representing surfaces in 3D. The operator is obtained by modifying the Laplacian with a potential function which defines the rate of oscillation of ...
  • Leitão, Gonçalo N. V.; Gomes, Abel J. P. (The Eurographics Association, 2017)
    Reconstructing a triangulated surface from a point cloud through a mesh growing algorithm is a difficult problem, in largely because they use bounds for the admissible dihedral angle to decide on the next triangle to be ...
  • Melzi, Simone; Rodolà, Emanuele; Castellani, Umberto; Bronstein, Michael M. (The Eurographics Association, 2017)
    The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In particular, Laplacian eigenbases allow generalizing the classical Fourier analysis to manifolds. ...
  • Ptackova, Lenka; Velho, Luiz (The Eurographics Association, 2017)
    Discrete exterior calculus (DEC) offers a coordinate-free discretization of exterior calculus especially suited for computations on curved spaces. We present an extended version of DEC on surface meshes formed by general ...
  • Guerrero, Paul; Winnemöller, Holger; Li, Wilmot; Mitra, Niloy J. (The Eurographics Association, 2017)
    In the context of scene understanding, a variety of methods exists to estimate different information channels from mono or stereo images, including disparity, depth, and normals. Although several advances have been reported ...
  • Houston, Kevin (The Eurographics Association, 2017)
    The eigenfunctions of the discrete Laplace-Beltrami operator have played an important role in many aspects of geometry processing. Given the success of sparse representation methods in areas such as compressive sensing it ...
  • Bærentzen, Jakob Andreas; Hildebrandt, Klaus (Eurographics Association, 2017)
  • Abdelkader, Ahmed; Mahmoud, Ahmed H.; Rushdi, Ahmad A.; Mitchell, Scott A.; Owens, John D.; Ebeida, Mohamed S. (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    In many geometry processing applications, it is required to improve an initial mesh in terms of multiple quality objectives. Despite the availability of several mesh generation algorithms with provable guarantees, such ...
  • Hefetz, Eden Fedida; Chien, Edward; Weber, Ofir (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    We present a planar harmonic cage-based deformation method with local injectivity and bounded distortion guarantees, that is significantly faster than state-of-the-art methods with similar guarantees, and allows for real-time ...
  • Huang, Ruqi; Ovsjanikov, Maks (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    In this paper, we propose to consider the adjoint operators of functional maps, and demonstrate their utility in several tasks in geometry processing. Unlike a functional map, which represents a correspondence simply using ...
  • Ezuz, Danielle; Ben-Chen, Mirela (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    Shape correspondence is an important and challenging problem in geometry processing. Generalized map representations, such as functional maps, have been recently suggested as an approach for handling difficult mapping ...
  • Aumentado-Armstrong, Tristan; Siddiqi, Kaleem (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    The heat kernel is a fundamental geometric object associated to every Riemannian manifold, used across applications in computer vision, graphics, and machine learning. In this article, we propose a novel computational ...
  • Liu, Hsueh-Ti Derek; Jacobson, Alec; Crane, Keenan (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    The eigenfunctions and eigenvalues of the Laplace-Beltrami operator have proven to be a powerful tool for digital geometry processing, providing a description of geometry that is essentially independent of coordinates or ...
  • Budninskiy, Max; Liu, Beibei; Tong, Yiying; Desbrun, Mathieu (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    In this paper, we propose a controllable embedding method for high- and low-dimensional geometry processing through sparse matrix eigenanalysis. Our approach is equally suitable to perform non-linear dimensionality reduction ...
  • Gao, Xifeng; Huang, Jin; Xu, Kaoji; Pan, Zherong; Deng, Zhigang; Chen, Guoning (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    Hexahedral (hex-) meshes are important for solving partial differential equations (PDEs) in applications of scientific computing and mechanical engineering. Many methods have been proposed aiming to generate hex-meshes ...
  • Qin, Yipeng; Yu, Hongchuan; Zhang, Jiangjun (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    Geodesic based Voronoi diagrams play an important role in many applications of computer graphics. Constructing such Voronoi diagrams usually resorts to exact geodesics. However, exact geodesic computation always consumes ...
  • Jakob, Johannes; Buchenau, Christoph; Guthe, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    Most state-of-the-art compression algorithms use complex connectivity traversal and prediction schemes, which are not efficient enough for online compression of large meshes. In this paper we propose a scalable massively ...
  • Sainlot, Maxime; Nivoliers, Vincent; Attali, Dominique (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    Restricted Voronoi diagrams are a fundamental geometric structure used in many applications such as surface reconstruction from point sets or optimal transport. Given a set of sites V and a mesh X with vertices in Rd ...
  • Mueller-Roemer, Johannes Sebastian; Altenhofen, Christian; Stork, André (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    In this paper, we present a novel volumetric mesh representation suited for parallel computing on modern GPU architectures. The data structure is based on a compact, ternary sparse matrix storage of boundary operators. ...
  • Ezuz, Danielle; Solomon, Justin; Kim, Vladimir G.; Ben-Chen, Mirela (The Eurographics Association and John Wiley & Sons Ltd., 2017)
    Deep neural networks provide a promising tool for incorporating semantic information in geometry processing applications. Unlike image and video processing, however, geometry processing requires handling unstructured ...

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