Objectif Optimization methods have become an established paradigm to address most Computer Vision challenges including thereconstruction of three-dimensional objects from multiple images, or the tracking of a deformable shape over time. Yet, it hasbeen largely overlooked that optimization approaches are practically useless if they do not come with efficient algorithms tocompute minimizers of respective energies. Most existing formulations give rise to non-convex energies. As a consequence,solutions highly depend on the choice of minimization scheme and implementational (initialization, time step sizes, etc.), withlittle or no guarantees regarding the quality of computed solutions and their robustness to perturbations of the input data.In the proposed research project, we plan to develop optimization methods for Computer Vision which allow to efficientlycompute globally optimal solutions. Preliminary results indicate that this will drastically leverage the power of optimizationmethods and their applicability in a substantially broader context. Specifically we will focus on three lines of research: 1) Wewill develop convex formulations for a variety of challenges. While convex formulations are currently being developed forlow-level problems such as image segmentation, our main effort will focus on carrying convex optimization to higher levelproblems of image understanding and scene interpretation. 2) We will investigate alternative strategies of global optimizationby means of discrete graph theoretic methods. We will characterize advantages and drawbacks of continuous and discretemethods and thereby develop novel algorithms combining the advantages of both approaches. 3) We will go beyond convexformulations, developing relaxation schemes that compute near-optimal solutions for problems that cannot be expressed byconvex functionals. Champ scientifique natural sciencescomputer and information sciencesartificial intelligencecomputer vision Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Thème(s) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Appel à propositions ERC-2009-StG Voir d’autres projets de cet appel Régime de financement ERC-SG - ERC Starting Grant Institution d’accueil TECHNISCHE UNIVERSITAET MUENCHEN Contribution de l’UE € 1 985 400,00 Adresse Arcisstrasse 21 80333 Muenchen Allemagne Voir sur la carte Région Bayern Oberbayern München, Kreisfreie Stadt Type d’activité Higher or Secondary Education Establishments Chercheur principal Daniel Cremers (Prof.) Contact administratif Ulrike Ronchetti (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire TECHNISCHE UNIVERSITAET MUENCHEN Allemagne Contribution de l’UE € 1 985 400,00 Adresse Arcisstrasse 21 80333 Muenchen Voir sur la carte Région Bayern Oberbayern München, Kreisfreie Stadt Type d’activité Higher or Secondary Education Establishments Chercheur principal Daniel Cremers (Prof.) Contact administratif Ulrike Ronchetti (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée