TY - GEN
T1 - On the face recognition with orthogonal bidirectional discriminant supervised projection
AU - Li, Jicheng
AU - Li, Wenbo
AU - Liu, Zisheng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/17
Y1 - 2016/9/17
N2 - By combining the discriminant supervised LPP with the orthogonal bidirectional projection, an orthogonal bidirectional discriminant supervised LPP (OBDSLPP), was proposed in which the left and right projection matrices for OBDSLPP are orthogonal. In this algorithm, to get the matrices, one trace ratio optimization problem are required to be solved. Experimental results show that the proposed OBDSLPP achieve more higher recognition accuracy than 2DDLPP, 2DDSLPP and BDLPP, respectively.
AB - By combining the discriminant supervised LPP with the orthogonal bidirectional projection, an orthogonal bidirectional discriminant supervised LPP (OBDSLPP), was proposed in which the left and right projection matrices for OBDSLPP are orthogonal. In this algorithm, to get the matrices, one trace ratio optimization problem are required to be solved. Experimental results show that the proposed OBDSLPP achieve more higher recognition accuracy than 2DDLPP, 2DDSLPP and BDLPP, respectively.
KW - Dimension reduction
KW - Discriminant supervised information
KW - Face recognition
KW - Orthogonal bidirectional projection
KW - Trace ratio optimization
UR - https://www.scopus.com/pages/publications/84989204333
U2 - 10.1109/ICOACS.2016.7563089
DO - 10.1109/ICOACS.2016.7563089
M3 - 会议稿件
AN - SCOPUS:84989204333
T3 - Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
SP - 250
EP - 253
BT - Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
A2 - Chen, Guorong
A2 - Peng, Jun
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
Y2 - 28 May 2016 through 29 May 2016
ER -