TY - GEN
T1 - Eǧri̇sel Gabor özni̇teli̇kleri̇ i̇le yüz tanima
AU - Arar, Nuri Murat
AU - Gao, Hua
AU - Ekenel, Hazim Kemal
AU - Akarun, Lale
PY - 2012
Y1 - 2012
N2 - This paper introduces a homogeneous Gabor feature based face recognition approach under uncontrolled conditions such as unexpected illumination changes, pose changes, blurring and facial expression changes. The system uses curvature Gabor features instead of conventional Gabor features, and the classifiers are obtained by applying PCLDA to the selected features. By combining some of the obtained classifiers using different fusion methods, good verification accuracies are achieved with low computational complexity. The system is tested on FRGC version 2.0 database, and it achieves 93.11% verification rate.
AB - This paper introduces a homogeneous Gabor feature based face recognition approach under uncontrolled conditions such as unexpected illumination changes, pose changes, blurring and facial expression changes. The system uses curvature Gabor features instead of conventional Gabor features, and the classifiers are obtained by applying PCLDA to the selected features. By combining some of the obtained classifiers using different fusion methods, good verification accuracies are achieved with low computational complexity. The system is tested on FRGC version 2.0 database, and it achieves 93.11% verification rate.
UR - http://www.scopus.com/inward/record.url?scp=84863483293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863483293&partnerID=8YFLogxK
U2 - 10.1109/SIU.2012.6204627
DO - 10.1109/SIU.2012.6204627
M3 - Conference contribution
AN - SCOPUS:84863483293
SN - 9781467300568
T3 - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
BT - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
T2 - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012
Y2 - 18 April 2012 through 20 April 2012
ER -