Browsing SGP17: Eurographics Symposium on Geometry Processing - Posters by Title

Now showing items 1-7 of 7

    • 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 ...

    • 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. ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Symposium on Geometry Processing 2017: Frontmatter 

      Bærentzen, Jakob Andreas; Hildebrandt, Klaus (Eurographics Association, 2017)