3-D head pose estimation for monocular image

Authors:
Yingjie Pan;Hong Zhu;Ruirui Ji
Affiliations:
Department of Automation and Information Engineering, Xi'an University of technology, Xi'an, China;Department of Automation and Information Engineering, Xi'an University of technology, Xi'an, China;Department of Automation and Information Engineering, Xi'an University of technology, Xi'an, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

3-D head pose estimation plays an important role in many applications, such as face recognition, 3-D reconstruction and so on. But it is very difficult to estimate 3-D head pose only from a single monocular image directly without other auxiliary information. This paper proposes a new human face pose estimation algorithm using a single image based on pinhole imaging theory and 3-D head rotation model. The key of this algorithm is to obtain 3-D head pose information based on the relations of projections and the positions changing of seven facial points. Experiments show the proposed method has good performance in both accuracy and robustness for human face pose estimation using only a single monocular image.