TY - GEN
T1 - A novel dictionary based SRC for face recognition
AU - Wen, Ying
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - The sparse representation based classification (SRC) performs not very well for small sample data. A discriminative common vector dictionary based SRC is introduced in this paper to address this issue. The contribution of this paper is that the dictionary of the proposed method is constructed by the discriminative common vector per class. The common vector represents the invariant property of each class, which is helpful to improve the performance of the proposed method for small sample database. Furthermore, the new dictionary has much less atoms than the original SRC based scheme, which reduces the computational cost. The experiments implemented on ORL, AR and LFW face databases demonstrate the effectiveness of the proposed method.
AB - The sparse representation based classification (SRC) performs not very well for small sample data. A discriminative common vector dictionary based SRC is introduced in this paper to address this issue. The contribution of this paper is that the dictionary of the proposed method is constructed by the discriminative common vector per class. The common vector represents the invariant property of each class, which is helpful to improve the performance of the proposed method for small sample database. Furthermore, the new dictionary has much less atoms than the original SRC based scheme, which reduces the computational cost. The experiments implemented on ORL, AR and LFW face databases demonstrate the effectiveness of the proposed method.
KW - Sparse representation classification
KW - discriminative common vector
KW - face recognition
UR - https://www.scopus.com/pages/publications/85023755594
U2 - 10.1109/ICASSP.2017.7952623
DO - 10.1109/ICASSP.2017.7952623
M3 - 会议稿件
AN - SCOPUS:85023755594
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2582
EP - 2586
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -