Abstract
Pose estimation plays an important role in the field of face recognition. This paper presents a fast method to estimate the pose of human head from a monocular image, combining with the research result of the anthropometry in the Mongolian race’s feature we had obtained, and cooperating with the theory of the projective geometry. The realization of our method uses only five points in the human face, and does not need any auxiliary equipment. So it can be practiced and popularized very well. It has been proved by experiment that the results of estimation are very close with actual rotational angles of human face. Especially when facial rotation in a naturally small angle, less than 30o, we can obtain the approximate accurate value of rotational angles by using this method.
This paper was funded by National Natural Science Foundation of China, and granting No. is 60271032.
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© 2004 Springer-Verlag Berlin Heidelberg
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Li, H., Zhou, M., Geng, G. (2004). Facial Pose Estimation Based on the Mongolian Race’s Feature Characteristic from a Monocular Image. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_20
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DOI: https://doi.org/10.1007/978-3-540-30548-4_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
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