The problem of generating a surface triangulation from a set of points with normal information arises in several mesh processing tasks like surface reconstruction or surface resampling. In this paper we present a surface triangulation approach which is based on local 2d delaunay triangulations in tangent space. Our contribution is the extension of this method to surfaces with sharp corners and creases. We demonstrate the robustness of the method on difficult meshing problems that include nearby sheets, self intersecting non manifold surfaces and noisy point samples
Manifold triangulation is the problem of, given a set of points $V$ sampled densely from some known ...
This paper presents an algorithm for sampling and triangulating a smooth surface ∑ ⊂ ℝ<sup>3</sup> w...
A surface reconstruction algorithm takes as input a set of sample points from an unknown closed and ...
The problem of generating a surface triangulation from a set of points with normal information arise...
The problem of generating a surface triangulation from a set of points with normal information arise...
The problem of generating a surface triangulation from a set of points with normal information arise...
The problem of generating a surface triangulation from a set of points with normal information arise...
We present an algorithm for meshing surfaces that is a simple adaptation of a greedy “farthest point...
Tyt. z nagłówka.Bibliogr. s. 347-348.The purpose of this paper is to generalize the Delaunay[13] tri...
The notion of ε-sample, introduced by Amenta and Bern, has proven to be a key concept in the theory ...
Delaunay flip is an elegant, simple tool to convert a triangulation of a point set to its Delaunay t...
We present a practical reconstruction algorithm that generates a surface triangulation from an input...
The Delaunay triangulation of a set of points in 3D can size Th (n2) in the worst case, but this is ...
Abstract Geometry images parameterise a mesh with a square domain and store the information in a sin...
Manifold triangulation is the problem of, given a set of points $V$ sampled densely from some known ...
Manifold triangulation is the problem of, given a set of points $V$ sampled densely from some known ...
This paper presents an algorithm for sampling and triangulating a smooth surface ∑ ⊂ ℝ<sup>3</sup> w...
A surface reconstruction algorithm takes as input a set of sample points from an unknown closed and ...
The problem of generating a surface triangulation from a set of points with normal information arise...
The problem of generating a surface triangulation from a set of points with normal information arise...
The problem of generating a surface triangulation from a set of points with normal information arise...
The problem of generating a surface triangulation from a set of points with normal information arise...
We present an algorithm for meshing surfaces that is a simple adaptation of a greedy “farthest point...
Tyt. z nagłówka.Bibliogr. s. 347-348.The purpose of this paper is to generalize the Delaunay[13] tri...
The notion of ε-sample, introduced by Amenta and Bern, has proven to be a key concept in the theory ...
Delaunay flip is an elegant, simple tool to convert a triangulation of a point set to its Delaunay t...
We present a practical reconstruction algorithm that generates a surface triangulation from an input...
The Delaunay triangulation of a set of points in 3D can size Th (n2) in the worst case, but this is ...
Abstract Geometry images parameterise a mesh with a square domain and store the information in a sin...
Manifold triangulation is the problem of, given a set of points $V$ sampled densely from some known ...
Manifold triangulation is the problem of, given a set of points $V$ sampled densely from some known ...
This paper presents an algorithm for sampling and triangulating a smooth surface ∑ ⊂ ℝ<sup>3</sup> w...
A surface reconstruction algorithm takes as input a set of sample points from an unknown closed and ...