Gaze-based Online Face Learning and Recognition in Augmented Reality

Takumi Toyama; Daniel Sonntag; Markus Weber; Christian Husodo Schulz
In: 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, ACM, 3/2013.


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.

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