Title :
Facial Feature Extraction on Fiducial Points and Used in Face Recognition
Author :
Weiwei, Yu ; Nannan, Yan
Author_Institution :
Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
Abstract :
One of the main issues of face recognition is to decide what features to represent a face. In this paper, we present a new algorithm that extracts facial features on some fiducial points. 17 fiducial points are automatically located by Active Appearance Models (AAMs) and characterized with Gabor wavelet analysis. The features are evaluated by a face database, which includes more than 400 images of 40 persons. Experimental results show the algorithm is effective and robust under some conditions.
Keywords :
face recognition; feature extraction; wavelet transforms; Active Appearance Models; Gabor wavelet analysis; face database; face recognition; facial feature extraction; fiducial points; Active appearance model; Data mining; Educational institutions; Face recognition; Facial features; Feature extraction; Principal component analysis; Robustness; Shape; Wavelet analysis; Active Appearance Models; Face Recognition; Feature extraction; Fiducial Points; Gabor wavelet;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.241
