Face pose estimation plays an important role in human computer interaction, automatic human behavior 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 centers 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 centers. 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.