Location-based Face Recognition Using Smart Mobile Device Sensors

Face recognition is a challenging computational task which assigns identity to detected faces. There has been prodigious improvement on face recognition in recent years. At first, researchers focused on face recognition under controlled conditions. Facilitated by classic datasets, researchers investigated face representations invariant to changes in pose, facial expression, and illumination. Despite their initial success, substantial face recognition research is required in less-controlled or uncontrolled conditions, such as in personal photo collections, web images and videos, or on-line social networks. Searching over a large set of images amplifies the need for more robust face recognition methods. In this paper, we propose a location aware face recognition application that alleviates the challenges of searching over a huge set of images in uncontrolled conditions. By using location sensor information of mobile devices, we create databases with location information. Furthermore, we propose a method to reduce the recognition search space, resulting in higher accuracy and real-time performance for identification.