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Automatic Facial Feature Correspondence Based on Pose Estimation

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2 Author(s)
Ying Chen ; Sch. of Commun. & Control Eng., Jiangnan Univ., Wuxi, China ; Chunjian Hua

Establishing facial feature correspondence across image of the same subject with different poses is an essential issue in the field of face image interpretation. Traditional approaches involve tedious landmark labeling and time-consuming training process. Instead, an automatic facial feature correspondence method is proposed in the paper, which achieves accurate feature correspondence via sparse feature matching using unary and geometric constraints, and intelligent interpolation based on facial pose angle estimation. The experiments show the validity of the proposed method.

Published in:

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on  (Volume:3 )

Date of Conference:

6-7 March 2010