TY - CONF T1 - Computing 3-D head orientation from a monocular image sequence T2 - Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on Y1 - 1996 A1 - Horprasert,T. A1 - Yacoob,Yaser A1 - Davis, Larry S. KW - 3D head orientation computation KW - anthropometric statistics KW - camera plane KW - coarse structure KW - eye KW - eye boundary KW - eye corners KW - face features KW - face recognition KW - Feature extraction KW - head pitch KW - head roll KW - head yaw KW - Image sequences KW - image-based parameterized tracking KW - monocular image sequence KW - projective cross-ratio invariance KW - sub-pixel parameterized shape estimation KW - tracking AB - An approach for estimating 3D head orientation in a monocular image sequence is proposed. The approach employs recently developed image-based parameterized tracking for face and face features to locate the area in which a sub-pixel parameterized shape estimation of the eye's boundary is performed. This involves tracking of five points (four at the eye corners and the fifth is the lip of the nose). The authors describe an approach that relies on the coarse structure of the face to compute orientation relative to the camera plane. Our approach employs projective invariance of the cross-ratios of the eye corners and anthropometric statistics to estimate the head yaw, roll and pitch. Analytical and experimental results are reported JA - Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on M3 - 10.1109/AFGR.1996.557271 ER -