DocumentCode :
495295
Title :
Pose Invariant Color Face Recognition Based on Frequency Analysis and DLDA with Weight Score Classification
Author :
Wijaya, I. Gede Pasek Suta ; Uchimura, Keiichi ; Hu, Zhencheng
Author_Institution :
Comput. Sci. & Electr. Eng. of GSST, Kumamoto Univ., Kumamoto, Japan
Volume :
6
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
90
Lastpage :
94
Abstract :
The face images mostly cover with skin color, which exists in chrominance component. That component was discharged in almost all of the previous works. In this paper, we present a method for pose invariant color face recognition, which is based on frequency analysis and DLDA with weight-score classification. The function of frequency analysis (i.e. wavelet and DCT transforms) is to extract the global facial features by selecting the dominant coefficients existing in low frequency components. In this case, the global facial features are created not only in the luminance but also in the chrominance for covering the skin color information. The weight-score is introduced in DLDA in order to reduce the overlap projected facial features. Where, the weight score, which is defined as a whole distance among the considered class and some closely classes to it, is determined by Mahalanobis distance.
Keywords :
discrete cosine transforms; discrete wavelet transforms; face recognition; feature extraction; image classification; image colour analysis; pose estimation; principal component analysis; DCT transform; DLDA; Mahalanobis distance; PCA; chrominance component; frequency analysis; global facial feature extraction; luminance component; pose-invariant color face image recognition; skin color information; wavelet transform; weight score classification; Computer science; Covariance matrix; Face recognition; Facial features; Frequency; Image color analysis; Information analysis; Linear discriminant analysis; Principal component analysis; Skin; Weight-score LDA; color face; face recognition; frequency analysis; global facial features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.743
Filename :
5170667
Link To Document :
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