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.

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BBAC home page. https://dist-systems.bbn.com/projects

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Highly Influential
4 Excerpts

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Highly Influential
5 Excerpts