Objetivo 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. Ámbito científico natural sciencescomputer and information sciencesartificial intelligencecomputer vision Programa(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) Tema(s) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Convocatoria de propuestas ERC-2009-StG Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-SG - ERC Starting Grant Institución de acogida TECHNISCHE UNIVERSITAET MUENCHEN Aportación de la UE € 1 985 400,00 Dirección Arcisstrasse 21 80333 Muenchen Alemania Ver en el mapa Región Bayern Oberbayern München, Kreisfreie Stadt Tipo de actividad Higher or Secondary Education Establishments Investigador principal Daniel Cremers (Prof.) Contacto administrativo Ulrike Ronchetti (Ms.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos Beneficiarios (1) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo TECHNISCHE UNIVERSITAET MUENCHEN Alemania Aportación de la UE € 1 985 400,00 Dirección Arcisstrasse 21 80333 Muenchen Ver en el mapa Región Bayern Oberbayern München, Kreisfreie Stadt Tipo de actividad Higher or Secondary Education Establishments Investigador principal Daniel Cremers (Prof.) Contacto administrativo Ulrike Ronchetti (Ms.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos