SGP17: Eurographics Symposium on Geometry Processing - Posters
Geometry Processing 2017 - Symposium Proceedings
July 3 - 5, 2017
(for Full Papers see SGP 2017 - Full Papers)
Sequentially-Defined Compressed Modes via ADMM
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels
Localized Manifold Harmonics for Spectral Shape Analysis
A Primal-to-Primal Discretization of Exterior Calculus on Polygonal Meshes
Schrödinger Operator for Sparse Approximation of 3D Meshes
PCR: A Geometric Cocktail for Triangulating Point Clouds Beautifully Without Angle Bounds
(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 ...
(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 ...
(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. ...
(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 ...
(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 ...
(Eurographics Association, 2017)
(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 ...