Objectif Computer graphics technology for realistic rendering has improveddramatically; however, the technology to create scene models to be rendered,e.g. for movies, has not developed at the same pace. In practice, the stateof the art in model creation still requires months of complex manual design,and this is a serious threat to progress. To attack this problem, computergraphics and computer vision researchers jointly developed methods thatcapture scene models from real world examples. Of particular importance isthe capturing of moving scenes. The pinnacle of dynamic scene capturetechnology in research is marker-less performance capture. From multi-viewvideo, they capture dynamic surface and texture models of the real world.Performance capture is hardly used in practice due to profound limitations:recording is usually limited to indoor studios, controlled lighting, anddense static camera arrays. Methods are often limited to single objects, andreconstructed shape detail is very limited. Assumptions about materials,reflectance, and lighting in a scene are simplistic, and we cannot easilymodify captured data.In this project, we will pioneer a new generation of performance capturetechniques to overcome these limitations. Our methods will allow thereconstruction of dynamic surface models of unprecedented shape detail. Theywill succeed on general scenes outside of the lab and outdoors, scenes withcomplex material and reflectance distributions, and scenes in which lightingis general, uncontrolled, and unknown. They will capture dense and crowdedscenes with complex shape deformations. They will reconstruct convenientlymodifiable scene models. They will work with sparse and moving sets ofcameras, ultimately even with mobile phones. This far-reaching,multi-disciplinary project will turn performance capture from a researchtechnology into a practical technology, provide groundbreaking scientificinsights, and open up revolutionary new applications. Champ scientifique engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensorsnatural sciencescomputer and information sciencesartificial intelligencecomputer visionhumanitiesartsmodern and contemporary artcinematographyengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones 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-2013-StG Voir d’autres projets de cet appel Régime de financement ERC-SG - ERC Starting Grant Institution d’accueil MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Contribution de l’UE € 1 480 800,00 Adresse HOFGARTENSTRASSE 8 80539 Munchen Allemagne Voir sur la carte Région Bayern Oberbayern München, Kreisfreie Stadt Type d’activité Research Organisations Chercheur principal Christian Theobalt (Prof.) Contact administratif Volker Maria Geiss (Mr.) 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 MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Allemagne Contribution de l’UE € 1 480 800,00 Adresse HOFGARTENSTRASSE 8 80539 Munchen Voir sur la carte Région Bayern Oberbayern München, Kreisfreie Stadt Type d’activité Research Organisations Chercheur principal Christian Theobalt (Prof.) Contact administratif Volker Maria Geiss (Mr.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée