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 United States 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.

iui2012-ml-workshop2.pdf (pdf, 144 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz