DocumentCode :
3157215
Title :
Face identity verification based on sinusoidal projection
Author :
Beom-Seok Oh ; Kar-Ann Toh
Author_Institution :
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
71
Lastpage :
76
Abstract :
This paper proposes a technique for face feature extraction using sinusoidal projection. Essentially, the technique uses a projection matrix, which is formed by stacking vectors with sinusoidal values at different frequencies, to directly multiply with raw image matrix for weighted feature extraction. Orthogonality among vectors within the sinusoidal projection matrix is observed when the frequencies are chosen as multiples of the fundamental frequency. The proposed technique shows promising verification performance on three face databases.
Keywords :
face recognition; feature extraction; matrix algebra; visual databases; face databases; face feature extraction; face identity verification; projection matrix; raw image matrix; sinusoidal projection; weighted feature extraction; Covariance matrices; Data mining; Databases; Face; Feature extraction; Lighting; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Biometrics and Identity Management (CIBIM), 2013 IEEE Workshop on
Conference_Location :
Singapore
ISSN :
2325-4300
Type :
conf
DOI :
10.1109/CIBIM.2013.6607917
Filename :
6607917
Link To Document :
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