Single image face orientation and gaze detection

Authors:
Jeremy Yrmeyahu Kaminski;Dotan Knaan;Adi Shavit
Affiliations:
Holon Institute of Technology, Department of Computer Science, Golomb Street, Holon, Israel;EyeTech Corporation, Israel Labs, Jerusalem, Israel;EyeTech Corporation, Israel Labs, Jerusalem, Israel
Venue:
Machine Vision and Applications
Year:
2009

Citing 5
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Abstract

We introduce a system to compute both head orientation and gaze detection from a single image. The system uses a camera with fixed parameters and requires no user calibration. Our approach to head orientation is based on a geometrical model of the human face, and is derived form morphological and physiological data. Eye gaze detection is based on a geometrical model of the human eye. Two new algorithms are introduced that require either two or three feature points to be extracted from each image. Our algorithms are robust and run in real-time on a typical PC, which makes our system useful for a large variety of needs, from driver attention monitoring to machine-human interaction.