TY - GEN
T1 - Locality-constrained group sparse representation for robust face recognition
AU - Chao, Yu Wei
AU - Yeh, Yi Ren
AU - Chen, Yu Wen
AU - Lee, Yuh-Jye
AU - Wang, Yu Chiang Frank
PY - 2011
Y1 - 2011
N2 - This paper presents a novel sparse representation for robust face recognition. We advance both group sparsity and data locality and formulate a unified optimization framework, which produces a locality and group sensitive sparse representation (LGSR) for improved recognition. Empirical results confirm that our LGSR not only outperforms state-of-the-art sparse coding based image classification methods, our approach is robust to variations such as lighting, pose, and facial details (glasses or not), which are typically seen in real-world face recognition problems.
AB - This paper presents a novel sparse representation for robust face recognition. We advance both group sparsity and data locality and formulate a unified optimization framework, which produces a locality and group sensitive sparse representation (LGSR) for improved recognition. Empirical results confirm that our LGSR not only outperforms state-of-the-art sparse coding based image classification methods, our approach is robust to variations such as lighting, pose, and facial details (glasses or not), which are typically seen in real-world face recognition problems.
KW - Face recognition
KW - data locality
KW - group Lasso
KW - sparse representation
UR - http://www.scopus.com/inward/record.url?scp=84863049834&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116666
DO - 10.1109/ICIP.2011.6116666
M3 - Conference contribution
AN - SCOPUS:84863049834
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 761
EP - 764
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -