TY - GEN
T1 - Face identity verification based on sinusoidal projection
AU - Oh, Beom Seok
AU - Toh, Kar Ann
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84891505523&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891505523&partnerID=8YFLogxK
U2 - 10.1109/CIBIM.2013.6607917
DO - 10.1109/CIBIM.2013.6607917
M3 - Conference contribution
AN - SCOPUS:84891505523
SN - 9781467358798
T3 - IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM
SP - 71
EP - 76
BT - Proceedings of the IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
T2 - 3rd IEEE International Workshop/Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2013
Y2 - 16 April 2013 through 19 April 2013
ER -