ALICE project-team
General objectives

ALICE is one of the six teams of the  Algorithms, Computation, Geometry and Image Department in INRIA Nancy Grand-Est / Loria.

ALICE is an INRIA project-team that aims at studying some fundamental aspects of Computer Graphics. More specifically, we study the interaction of light with the geometry of the objects. The lighting problem consists in designing accurate and efficient numerical simulation methods for the light transport equation. The geometrical problem consists in 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, scalable and numerically stable.

  • By provably correct, we mean that some properties/invariants of the initial object need to be preserved by our solutions.
  • By scalable, we mean that our solutions need to be applicable to data sets of industrial size.
  • By numerically stable, we mean that our solutions need to be resistant to the degeneracies often encountered in industrial data sets.

To reach these goals, our approach consists in transforming the physical or geometric problem into a numerical optimization problem, studying the properties of the objective function and designing efficient minimization algorithms.

Besides Computer Graphics, we have cooperations with researchers and people from the industry, who experiment applications of our general solutions to various domains, comprising CAD, industrial design, oil exploration, plasma physics... We collaborate with the Gocad consortium on 3D modeling for oil exploration.

 
Image of the day

This image from:

“Approximating Functions on a Mesh with Restricted Voronoi Diagrams”
Vincent Nivoliers and Bruno Lévy
ACM/EG Symposium on Geometry Processing / Computer Graphics Forum, 2013
 
Latest news

August 15, 2014:

OpenNL is included in Ceemple

August 10-14, 2014:

Siggraph 2014, we present a Siggraph paper and a TOG paper

May 1st, 2014:

Our article about Optimal Delaunay Triangulation is published by SIAM J. Scientific Computing

April 7-11, 2014:

Eurographics 2014, we present two papers [here] and [here]