TY - GEN
T1 - Face recognition from visible and near-infrared images using boosted directional binary code
AU - Shen, Linlin
AU - He, Jinwen
AU - Wu, Shipei
AU - Zheng, Songhao
PY - 2011
Y1 - 2011
N2 - Pose and illuminations remain great challenges to current face recognition technique. In this paper, visible image (VI) and near-infrared image (NIR) are fused for performance improvement. When directional binary code is adopted as feature representation, AdaBoost algorithm and the cascade structure are used for classification. Fusion is done at decision level and classification scores are normalized using three different rules, i.e. Min-Max, Z-Score and Tanh-Estimators. Experimental results suggest that the proposed algorithm using VI achieve better performance than NIR when pose and expression variations are present. However, NIR shows much better robustness against illumination and time difference than VI. Due to the complementary information available in two image modalities, fusion of NIR and VI further improves the system performance.
AB - Pose and illuminations remain great challenges to current face recognition technique. In this paper, visible image (VI) and near-infrared image (NIR) are fused for performance improvement. When directional binary code is adopted as feature representation, AdaBoost algorithm and the cascade structure are used for classification. Fusion is done at decision level and classification scores are normalized using three different rules, i.e. Min-Max, Z-Score and Tanh-Estimators. Experimental results suggest that the proposed algorithm using VI achieve better performance than NIR when pose and expression variations are present. However, NIR shows much better robustness against illumination and time difference than VI. Due to the complementary information available in two image modalities, fusion of NIR and VI further improves the system performance.
KW - Directional binary code
KW - Face recognition
KW - Near-infrared image
UR - http://www.scopus.com/inward/record.url?scp=84862924932&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25944-9_52
DO - 10.1007/978-3-642-25944-9_52
M3 - Conference contribution
AN - SCOPUS:84862924932
SN - 9783642259432
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 404
EP - 411
BT - Advanced Intelligent Computing Theories and Applications
T2 - 7th International Conference on Intelligent Computing, ICIC 2011
Y2 - 11 August 2011 through 14 August 2011
ER -