Objectif This project represents a new way to look at the problem of human face recognition. Despite a large amount of research on this topic, we still do not understand the most fundamental aspect of face processing: how can we identify the people we see? This is a key problem in human perception, but it also has practical implications in forensic and security settings. This project has its roots in a simple observation: pictures of the same face can look very different indeed. In the standard approach to face recognition, this commonplace fact is treated as an inconvenience. Differences between pictures of the same person are regarded as ‘noise’, and either ignored, or eliminated by systematically controlling the images used for research. This research programme takes exactly the converse approach. Instead of trying to control away this variability, we wish to study it explicitly. Under this approach, the focus is not how to ‘tell people apart’, but instead how to ‘tell people together’ – how to bring together superficially different images into a coherent representation. Early work suggests that a very important component of familiar face recognition is the ability to generalize over superficial image differences – differences which tend to fool unfamiliar viewers, as well as automatic computer-based systems. The current failure to address this variability may account for the slow progress in face identification – progress which has fallen behind the understanding of other aspects of face processing such as social perception. By studying this missing component of face recognition, a novel theoretical model will be developed which has the potential to make a significant contribution. 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-AG-SH4 - ERC Advanced Grant - The Human Mind and its complexity Appel à propositions ERC-2012-ADG_20120411 Voir d’autres projets de cet appel Régime de financement ERC-AG - ERC Advanced Grant Institution d’accueil UNIVERSITY OF YORK Contribution de l’UE € 1 046 553,41 Adresse HESLINGTON YO10 5DD York North Yorkshire Royaume-Uni Voir sur la carte Région Yorkshire and the Humber North Yorkshire York Type d’activité Higher or Secondary Education Establishments Contact administratif Chris Barber (Mr.) Chercheur principal Anthony Michael Burton (Prof.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Bénéficiaires (2) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire UNIVERSITY OF YORK Royaume-Uni Contribution de l’UE € 1 046 553,41 Adresse HESLINGTON YO10 5DD York North Yorkshire Voir sur la carte Région Yorkshire and the Humber North Yorkshire York Type d’activité Higher or Secondary Education Establishments Contact administratif Chris Barber (Mr.) Chercheur principal Anthony Michael Burton (Prof.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN Participation terminée Royaume-Uni Contribution de l’UE € 449 709,59 Adresse KING'S COLLEGE REGENT WALK AB24 3FX ABERDEEN Voir sur la carte Région Scotland North Eastern Scotland Aberdeen City and Aberdeenshire Type d’activité Higher or Secondary Education Establishments Contact administratif Kerry Kidd (Mrs.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée