Séminaire du 10/06/2013

lundi 10 juin 2013, 10h00, C218

Continuous and discrete optimization methods on arbitrary graphs. Applications to inverse problems in imaging

Conférencier : Hugues Talbot (ESIEE)

Résumé : In the last decade, we have witnessed much progress in convex and combinatorial optimization methods. They now have become fast enough and flexible enough to be applied to many practical imaging problems. Novel frameworks have emerged as a result, such as compressive sensing for instance. The tools to perform the modeling and the optimization have also become more flexible. In this talk, I will present recent work in this area, allowing the use of recent continuous variational methods on arbitrary graphs. Applications range from segmentation to mesh denoising via deblurring and denoising. I will also present some open problems.