TY - GEN
T1 - Shannon wavelet kernel based subspace LDA approach in face recognition
AU - Chen, Wen Sheng
AU - Fang, Bin
AU - YUEN, Pong Chi
AU - Lai, Jian Huang
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - It is well-known that the distribution of face images with different pose, illumination and face expression is complex and nonlinear. The traditional linear methods, such as linear discriminant analysis (LDA), will not give a satisfactory performance. In addition, LDA always suffers from small sample size (S3) problem, which always occurs when the sample size is smaller than the dimensionality of feature vector. To overcome these limitations, Shannon wavelet kernel combining with subspace LDA (SWKSLDA) algorithm is developed. Two databases, namely FERET and CMU PIE databases, are selected for evaluation. Comparing with the existing LDA-based methods, the proposed method gives superior results.
AB - It is well-known that the distribution of face images with different pose, illumination and face expression is complex and nonlinear. The traditional linear methods, such as linear discriminant analysis (LDA), will not give a satisfactory performance. In addition, LDA always suffers from small sample size (S3) problem, which always occurs when the sample size is smaller than the dimensionality of feature vector. To overcome these limitations, Shannon wavelet kernel combining with subspace LDA (SWKSLDA) algorithm is developed. Two databases, namely FERET and CMU PIE databases, are selected for evaluation. Comparing with the existing LDA-based methods, the proposed method gives superior results.
UR - http://www.scopus.com/inward/record.url?scp=38549132276&partnerID=8YFLogxK
U2 - 10.1109/ICCIAS.2006.294226
DO - 10.1109/ICCIAS.2006.294226
M3 - Conference contribution
AN - SCOPUS:38549132276
SN - 1424406056
SN - 9781424406050
T3 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
SP - 708
EP - 713
BT - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
PB - IEEE Computer Society
T2 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Y2 - 3 October 2006 through 6 October 2006
ER -