TY - GEN
T1 - Improved discriminant nearest feature space analysis for variable lighting face recognition
AU - Huang, Shih Ming
AU - Yang, Jar Ferr
PY - 2013
Y1 - 2013
N2 - To improve the discriminant nearest feature space analysis (DNFSA) methods [6], in this paper, we propose an improved DNFSA (IDNFSA) algorithm to increase the robustness for variable lighting face recognition. The IDNFSA removes the mean of each image and attempts to minimize the within-class feature space (FS) distance and maximize the between-class FS distance simultaneously. In the IDNFSA, the first n eigenvectors are dropped and a generalized whitening transformation is suggested. In the recognition phase, the projected coefficients are classified by the nearest feature space rule with the ridge regression classification algorithm. Furthermore, to achieve higher accuracy, the illumination compensation is used. Experiments on the Extended Yale B (EYB) and FERET face databases reveal that the proposed approach outperforms the state-of-the-art methods for variable lighting face recognition.1.
AB - To improve the discriminant nearest feature space analysis (DNFSA) methods [6], in this paper, we propose an improved DNFSA (IDNFSA) algorithm to increase the robustness for variable lighting face recognition. The IDNFSA removes the mean of each image and attempts to minimize the within-class feature space (FS) distance and maximize the between-class FS distance simultaneously. In the IDNFSA, the first n eigenvectors are dropped and a generalized whitening transformation is suggested. In the recognition phase, the projected coefficients are classified by the nearest feature space rule with the ridge regression classification algorithm. Furthermore, to achieve higher accuracy, the illumination compensation is used. Experiments on the Extended Yale B (EYB) and FERET face databases reveal that the proposed approach outperforms the state-of-the-art methods for variable lighting face recognition.1.
UR - http://www.scopus.com/inward/record.url?scp=84883432119&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883432119&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2013.6572506
DO - 10.1109/ISCAS.2013.6572506
M3 - Conference contribution
AN - SCOPUS:84883432119
SN - 9781467357609
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2984
EP - 2987
BT - 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
T2 - 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Y2 - 19 May 2013 through 23 May 2013
ER -