TY - JOUR
T1 - Fast Haar transform based feature extraction for face representation and recognition
AU - Pang, Yanwei
AU - Li, Xuelong
AU - Yuan, Yuan
AU - Tao, Dacheng
AU - Pan, Jing
PY - 2009/9
Y1 - 2009/9
N2 - Subspace learning is the process of finding a proper feature subspace and then projecting high-dimensional data onto the learned low-dimensional subspace. The projection operation requires many floating-point multiplications and additions, which makes the projection process computationally expensive. To tackle this problem, this paper proposes two simple-but-effective fast subspace learning and image projection methods, fast Haar transform (FHT) based principal component analysis and FHT based spectral regression discriminant analysis. The advantages of these two methods result from employing both the FHT for subspace learning and the integral vector for feature extraction. Experimental results on three face databases demonstrated their effectiveness and efficiency.
AB - Subspace learning is the process of finding a proper feature subspace and then projecting high-dimensional data onto the learned low-dimensional subspace. The projection operation requires many floating-point multiplications and additions, which makes the projection process computationally expensive. To tackle this problem, this paper proposes two simple-but-effective fast subspace learning and image projection methods, fast Haar transform (FHT) based principal component analysis and FHT based spectral regression discriminant analysis. The advantages of these two methods result from employing both the FHT for subspace learning and the integral vector for feature extraction. Experimental results on three face databases demonstrated their effectiveness and efficiency.
KW - face representation and recognition
KW - fast algorithm
KW - feature extraction
KW - Haar transform
KW - subspace analysis
UR - http://ieeexplore.ieee.org/document/5159453/
UR - http://www.scopus.com/inward/record.url?scp=69749118031&partnerID=8YFLogxK
U2 - 10.1109/TIFS.2009.2026455
DO - 10.1109/TIFS.2009.2026455
M3 - Article
AN - SCOPUS:69749118031
SN - 1556-6013
VL - 4
SP - 441
EP - 450
JO - IEEE Transactions on Information Forensics and Security
JF - IEEE Transactions on Information Forensics and Security
IS - 3
ER -