3D Face pose estimation and tracking from a monocular camera

摘要

In this paper, we describe a new approach for estimating and tracking three-dimensional (3D) pose of a human face from the face images obtained from a single monocular view with full perspective projection. We assume that the shape of a 3D face can be approximated b an ellipse and that the aspect ratio of 3D face ellipse is given. Given a monocular image of a face, we first perform an ellipse detection to locate the face in the image and the 3D position and orientation of the face are then estimated from the detected image face. The face detection is greatly facilitated by exploring the physiological properties of eyes under a special IR illumination and some geometric constraints.