An anthropometric shape model for estimating head orientation

An approach for estimating 3D head orientation in a monocular image sequence is presented. The approach employs recently developed image-based parameterized tracking for face and face features to locate the area in which an estimation of point feature locations is performed. This involves tracking of ve points (four at the eye corners and the fth is the tip of the nose). We describe an approach that relies on the coarse structure of the face to compute orientation relative to the camera plane. Our approach employs symmetry of the eyes and anthropometric statistics to estimate the head yaw, roll and pitch.