Gaze-based Online Face Learning and Recognition in Augmented Reality

Gaze-based Online Face Learning and Recognition in Augmented Reality
Takumi Toyama, Daniel Sonntag, Markus Weber, Christian Husodo Schulz
Proceedings of the IUI 2013 Workshop on Interactive Machine Learning IUI Workshop on Interactive Machine Learning, Poster Session, located at 18th International Conference on Intelligent User Interfaces, March 19-22, Santa Monica, CA, USA

Abstract:

We propose a new online face learning and recognition approach using user gaze and augmented displays. User gaze is used to select a face in focus in a scene image whereupon visual feedback and information about the detected person is presented in a head mounted display. Our specific medical application leverages the doctor’s capabilities of recalling the specific patient context.