Automatic Facial Feature Correspondence Based on Pose Estimation

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 corresp...

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Bibliographic Details
Published in2010 2nd International Workshop on Education Technology and Computer Science Vol. 3; pp. 153 - 156
Main Authors Ying Chen, Chunjian Hua
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2010
Subjects
Active shape model
Computer vision
Detectors
Eyes
Face detection
Facial Feature annotation
Facial features
Feature extraction
graph matching
Interpolation
Mouth
Nose
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Summary: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.
ISBN:1424463882
9781424463886
DOI:10.1109/ETCS.2010.614