Geometry Processing 2017 - Symposium Proceedings
London, UK
July 3 - 5, 2017
(for Full Papers see SGP 2017 - Full Papers)


Posters
Sequentially-Defined Compressed Modes via ADMM
Kevin Houston
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels
Paul Guerrero, Holger Winnemöller, Wilmot Li, and Niloy J. Mitra
Localized Manifold Harmonics for Spectral Shape Analysis
Simone Melzi, Emanuele Rodolà, Umberto Castellani, and Michael M. Bronstein
A Primal-to-Primal Discretization of Exterior Calculus on Polygonal Meshes
Lenka Ptackova and Luiz Velho
Schrödinger Operator for Sparse Approximation of 3D Meshes
Yoni Choukroun, Gautam Pai, and Ron Kimmel
PCR: A Geometric Cocktail for Triangulating Point Clouds Beautifully Without Angle Bounds
Gonçalo N. V. Leitão and Abel J. P. Gomes

Recent Submissions

  • Schrödinger Operator for Sparse Approximation of 3D Meshes 

    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 ...
  • PCR: A Geometric Cocktail for Triangulating Point Clouds Beautifully Without Angle Bounds 

    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 ...
  • A Primal-to-Primal Discretization of Exterior Calculus on Polygonal Meshes 

    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 ...
  • Localized Manifold Harmonics for Spectral Shape Analysis 

    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. ...
  • DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels 

    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 ...
  • Symposium on Geometry Processing 2017: Frontmatter 

    Bærentzen, Jakob Andreas; Hildebrandt, Klaus (Eurographics Association, 2017)
  • Sequentially-Defined Compressed Modes via ADMM 

    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 ...