We present an algorithm that takes as input a finite point set in Euclidean space, and performs a perturbation that guarantees that the Delaunay triangulation of the resulting perturbed point set has quantifiable stability with respect to the metric and the point positions. There is also a guarantee on the quality of the simplices: they cannot be too flat. The algorithm provides an alternative tool to the weighting or refinement methods to remove poorly shaped simplices in Delaunay triangulations of arbitrary dimension, but in addition it provides a guarantee of stability for the resulting triangulation
Computing Delaunay triangulations in $\mathbb{R}^d$ involves evaluating the so-called in\_sphere pre...
Computing Delaunay triangulations in Rdinvolves evaluating the so-called in\_sphere predicate thatde...
International audienceThis paper considers the problem of updating efficiently a Delaunay triangulat...
International audienceWe present an algorithm that takes as input a finite point set in Rm , and per...
We present an algorithm that takes as input a finite point set in Euclidean space, and performs a pe...
Submitted to IJCGA (Special issue for SoCG 2012)We introduce a parametrized notion of genericity for...
Most geometric algorithms are idealistic in the sense that they are designed for the Real-RAM model ...
International audienceThe Delaunay triangulation and the weighted Delaunay triangulation are not uni...
We present an algorithmic framework for producing Delaunay triangulations of manifolds. The input to...
AbstractThe Delaunay triangulation and the weighted Delaunay triangulation are not uniquely defined ...
International audienceWe propose algorithms to compute the Delaunay triangulation of a point set L u...
Most geometric algorithms are idealistic in the sense that they are designed for the Real-RAM model ...
International audienceThirty years ago, at the early ages of computational geometry, the game of com...
Delaunay triangulations of a point set in the Euclidean plane are ubiquitous in a number of computat...
This paper considers the problem of updating efficiently a Delaunay triangulation when vertices are ...
Computing Delaunay triangulations in $\mathbb{R}^d$ involves evaluating the so-called in\_sphere pre...
Computing Delaunay triangulations in Rdinvolves evaluating the so-called in\_sphere predicate thatde...
International audienceThis paper considers the problem of updating efficiently a Delaunay triangulat...
International audienceWe present an algorithm that takes as input a finite point set in Rm , and per...
We present an algorithm that takes as input a finite point set in Euclidean space, and performs a pe...
Submitted to IJCGA (Special issue for SoCG 2012)We introduce a parametrized notion of genericity for...
Most geometric algorithms are idealistic in the sense that they are designed for the Real-RAM model ...
International audienceThe Delaunay triangulation and the weighted Delaunay triangulation are not uni...
We present an algorithmic framework for producing Delaunay triangulations of manifolds. The input to...
AbstractThe Delaunay triangulation and the weighted Delaunay triangulation are not uniquely defined ...
International audienceWe propose algorithms to compute the Delaunay triangulation of a point set L u...
Most geometric algorithms are idealistic in the sense that they are designed for the Real-RAM model ...
International audienceThirty years ago, at the early ages of computational geometry, the game of com...
Delaunay triangulations of a point set in the Euclidean plane are ubiquitous in a number of computat...
This paper considers the problem of updating efficiently a Delaunay triangulation when vertices are ...
Computing Delaunay triangulations in $\mathbb{R}^d$ involves evaluating the so-called in\_sphere pre...
Computing Delaunay triangulations in Rdinvolves evaluating the so-called in\_sphere predicate thatde...
International audienceThis paper considers the problem of updating efficiently a Delaunay triangulat...