2134/10174 Muhammad Shafi Muhammad Shafi Paul Chung Paul Chung Face pose estimation from eyes and mouth Loughborough University 2012 Human-computer interaction Mouth map Eye map Pose-independent Pose estimation Mechanical Engineering Information and Computing Sciences not elsewhere classified 2012-07-31 08:39:46 Journal contribution https://repository.lboro.ac.uk/articles/journal_contribution/Face_pose_estimation_from_eyes_and_mouth/9401540 Face pose estimation plays an important role in human computer interaction, automatic human behaviour analysis, gaze estimation, virtual reality, pose independent face recognition, etc. Accuracy and speed are the most desirable features of a face pose estimation system. In this paper, a face pose estimation scheme based on the centres of the eyes and mouth is proposed. The proposed method is simple and is, therefore, very effective in terms of computation because it uses only three points, i.e., eyes and mouth centres. The use of only three points increases the pose estimation range and makes the method suitable for real time applications. Tests using the Pointing '04 database show that the proposed scheme is robust and fast.