20 citations · 61 across the 10 of their papers we have counts for
12 papers
Neural networks for spectral optimization
Alexis de Villeroché, Beniamin Bogosel, Stéphane Breuils +2
Given a functional dependent on the spectrum of a differential operator, we address the problem of finding a domain which optimizes this functional. PDE solvers might be used to ta…
How to~Peel Fully Convex Digital Sets
Fabien Feschet, Jacques-Olivier Lachaud
Full convexity is an interesting alternative to classical digital convexity since it guarantees connectedness and even simple connectedness in digital spaces Z d , for any dimensio…
Fast and exact visibility on digitized shapes and application to saliency-aware normal estimation
Romain Negro, Jacques-Olivier Lachaud
Computing visibility on a geometric object requires heavy computations since it requires to identify pairs of points that are visible to each other, i.e. there is a straight segmen…
Geometric Total Variation for Image Vectorization, Zooming and Pixel Art Depixelizing
Bertrand Kerautret, Jacques-Olivier Lachaud
We propose an original method for vectorizing an image or zooming it at an arbitrary scale. The core of our method relies on the resolution of a geometric variational model and the…
Mumford-Shah Mesh Processing using the Ambrosio-Tortorelli Functional
Nicolas Bonneel, David Coeurjolly, Pierre Gueth +1
The Mumford-Shah functional approximates a function by a piecewise smooth function. Its versatility makes it ideal for tasks such as image segmentation or restoration, and it is no…
3D Geometric Analysis of Tubular Objects based on Surface Normal Accumulation
Bertrand Kerautret, Adrien Krähenbühl, Isabelle Debled-Rennesson +1
This paper proposes a simple and efficient method for the reconstruction and extraction of geometric parameters from 3D tubular objects. Our method constructs an image that accumul…