Gaze-based Online Face Learning and Recognition in Augmented Reality

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.

Cite this paper

@inproceedings{Toyama2013GazebasedOF, title={Gaze-based Online Face Learning and Recognition in Augmented Reality}, author={Takumi Toyama and Christian Schulz}, year={2013} }