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.