EyeCatcher: a digital camera for capturing a variety of natural looking facial expressions in daily snapshots

Authors:
Koji Tsukada;Maho Oki
Affiliations:
Ochanomizu University, Tokyo, Japan;Ochanomizu University, Tokyo, Japan
Venue:
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Year:
2010

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Abstract

This paper proposes a novel interactive technique, the EyeCatcher, which helps photographers capture a variety of natural looking facial expressions of their subjects, by keeping the eyes of the subjects focused on the camera without the stress usually associated with being photographed. We develop a prototype system and verify the effectiveness through evaluation and discussion.