Facial pose estimation based on the mongolian race's feature characteristic from a monocular image

Authors:
Huaming Li;Mingquan Zhou;Guohua Geng
Affiliations:
Institute of visualization technology, Department of Computer Science, Northwest University, Xi'an, P.R China;Institute of visualization technology, Department of Computer Science, Northwest University, Xi'an, P.R China;Institute of visualization technology, Department of Computer Science, Northwest University, Xi'an, P.R China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

Citing 3
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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.