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ALICE Research team

Geometry and Lighting

Team presentation

ALICE is a project-team in Computer Graphics.We work on two main aspects: geometry processing and computer fabrication.

On geometry processing, we aim at developing new solutions to transform and optimize geometric representations. Our original approach to
both issues is to restate the problems in terms of numerical optimization. We try to develop solutions that are
provably correct, numerically stable and scalable. To reach these goals, our approach consists in transforming thephysical or geometric problem into a numerical optimization problem, studying the properties of the objective function and designing efficient minimization
algorithms. Besides Computer Graphics, our goal is to develop cooperations with researchers and people from
the industry, who test applications of our general solutions to various domains, comprising CAD, industrial
design, oil exploration, plasma physics... Our solutions are distributed in both open-source software (Graphite,
OpenNL, geogram) and industrial software (Gocad).

Since 2010, we started to develop techniques to model not only virtual objects, but also real ones. Our
“modeling and rendering” research axis evolved, and we generalized our results on by-example texture
synthesis to the production of real objects, using 3D printers. As compared to virtual objects, this setting
defines higher requirements for the geometry processing techniques that we develop, that need to be adapted
to both numerical simulation and computer-aided fabrication. We study how to include computational physics
into the loop, and simulation methods for various phenomena (e.g., fluid dynamics).

Research themes

  • Geometry Processing
  • Meshing
  • Computer Aided Fabrication

International and industrial relations

  • ERC SHAPEFORGE (Consolidator grant)
  • ERC ICEXL (Proof of concept grant)
  • Earth Decision Sciences and Gocad Consortium
  • Human Games

Keywords: Linear/non-linear/constrained numerical optimization Galerkin formulation Stochastic methods Volume rendering Clusters Binary swap