Cel 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. Dziedzina nauki 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 Program(-y) 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) Temat(-y) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Zaproszenie do składania wniosków ERC-2013-StG Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-SG - ERC Starting Grant Instytucja przyjmująca MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Wkład UE € 1 480 800,00 Adres HOFGARTENSTRASSE 8 80539 Munchen Niemcy Zobacz na mapie Region Bayern Oberbayern München, Kreisfreie Stadt Rodzaj działalności Research Organisations Kierownik naukowy Christian Theobalt (Prof.) Kontakt administracyjny Volker Maria Geiss (Mr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV Niemcy Wkład UE € 1 480 800,00 Adres HOFGARTENSTRASSE 8 80539 Munchen Zobacz na mapie Region Bayern Oberbayern München, Kreisfreie Stadt Rodzaj działalności Research Organisations Kierownik naukowy Christian Theobalt (Prof.) Kontakt administracyjny Volker Maria Geiss (Mr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych