In order to improve the facial feature localization under large-scale pose angle,a hierarchical edge orientation field matching(HEOFM)based algorithm was proposed.A new measurement coined structural Hausdoff distance was developed for edge orientation field matching.The global edge orientation field matching(GEOFM)was applied to estimate the pose angle and thus obtain the coarse position of the features,and then the further local feature edge orientation field matching(FEOFM)was carried out for precise localization.The experimental results show that,this algorithm achieves almost high localization accuracy with less training examples compared with common detection based localization algorithm under small pose angle,and performs fairly good under moderate or large pose angle.