HEAD ORIENTATION AND GAZE DETECTION FROM A SINGLE IMAGE
Jeremy Yirmeyahu Kaminski, Adi Shavit, Dotan Knaan, Mina Teicher · 2006
Abstract: Head orientation is an important part of many advanced human-machine interaction systems. We present a single image based head pose computation algorithm. It is 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 approach is accurate, fast and can be used in a variety of contexts. Application to gaze detection, with a working system, is also demonstrated. 1