  Gaze detection and head orientation are an important part of many advanced
human-machine interaction applications. Many systems have been proposed for
gaze detection. Typically, they require some form of user cooperation and
calibration. Additionally, they may require multiple cameras and/or restricted
head positions. We present a new approach for inference of both face
orientation and gaze direction from a single image with no restrictions on the
head position. Our algorithm is based on a face and eye model, deduced from
anthropometric data. This approach allows us to use a single camera and
requires no cooperation from the user. Using a single image avoids the
complexities associated with of a multi-camera system. Evaluation tests show
that our system is accurate, fast and can be used in a variety of applications,
including ones where the user is unaware of the system.
