Cel With the every-day growing reach of technology through mediums like internet and mobile computing, having a human-computer interface with the ability to recognise facial expressions (and subsequently the affective state) can be very useful tool for future technology. However, the existing facial expression recognition systems can typically handle only deliberately displayed and exaggerated expressions under controlled laboratory environment. The main aim of the proposed “FER in the Wild” project is to build a fully-automatic and real-time AU detection system capable of handling spontaneous facial expressions under uncontrolled natural settings that is easy-to-use, cost-effective and can be easily merged with any other existing setup. To achieve this goal, a fully-automatic and real-time face tracking system based on a new class for face models, called the Online Robust Deformable Model (ORDM), is proposed that is capable of handling faces under real-world settings. The proposed ORDM, based on the methods for online and incremental subspace learning, will not rely completely on the offline training and will continuously update its models to achieve robust fit to varying pose and illumination conditions. Moreover, a recently proposed Principal Regression Analysis (PRA) framework, used for placing a strong prior over the space of plausible solutions, will be explored and made much more robust to assist in faster and better convergence of the ORDM fitting methods. The proposed project will also extend the state-of-the-art by formulating the Discriminative Dynamic State Regression Machines (DDSRM) with an underlying structure (i.e. with a hidden units or states), referred to as Hidden-DDSRM. This layer of hidden variables will enable HDDSRM to model the complex underlying structure of spontaneous AUs. As a result, a novel AU detection method capable of continuous and accurate prediction of the AU intensities for spontaneous facial expressions will be developed. Dziedzina nauki natural sciencescomputer and information sciencesinternet Program(-y) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) FP7-PEOPLE-2011-IIF - Marie Curie Action: "International Incoming Fellowships" Zaproszenie do składania wniosków FP7-PEOPLE-2011-IIF Zobacz inne projekty w ramach tego zaproszenia System finansowania MC-IIF - International Incoming Fellowships (IIF) Koordynator IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE Wkład UE € 200 371,80 Adres SOUTH KENSINGTON CAMPUS EXHIBITION ROAD SW7 2AZ LONDON Zjednoczone Królestwo Zobacz na mapie Region London Inner London — West Westminster Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Shaun Power (Mr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych
