Paper Info
Title
Face recognition using anisotropic dual-tree complex wavelet packets
Abstract
In this paper, we propose a novel face recognition method based on anisotropic dual-tree complex wavelet packets(ADT-CWP). 2-D dual-tree complex wavelet transform(DT-CWT) provides a geometrically oriented decomposition for image representation as well as shift invariance. By applying anisotropic wavelet packet decomposition on DT-CWT further, ADT-CWP can be used to extract facial features better, which turns out to benefit for face recognition. With adaptively assigning different weights to different wavelet subbands, consistent best performances can be obtained based on different face databases which are under different conditions, such as varying illuminations and expressions, compared to PCA and other face recognition methods, especially Gabor-based method. Furthermore, in addition to the consistent and promising classification performances, our proposed ADT-CWP-based method has a really low computational complexity.
Year
DOI
Venue
2008
10.1109/ICPR.2008.4761211
ICPR
Keywords
Field
DocType
image representation,2d dual-tree complex wavelet transform,face recognition,trees (mathematics),wavelet transforms,computational complexity,geometrically oriented decomposition,face databases,gabor-based method,anisotropic dual-tree complex wavelet packets,databases,wavelet packets,face,wavelet packet decomposition,feature extraction,shift invariant,principal component analysis
Computer vision,Facial recognition system,Pattern recognition,Computer science,Feature extraction,Artificial intelligence,Complex wavelet transform,Stationary wavelet transform,Wavelet packet decomposition,Computational complexity theory,Wavelet,Wavelet transform
Conference
ISSN
ISBN
Citations 
1051-4651 E-ISBN : 978-1-4244-2175-6
978-1-4244-2175-6
2
PageRank 
References 
Authors
0.39
9
4
Name
Order
Citations
PageRank
YiGang Peng145114.87
Xudong Xie230420.32
Wenli Xu3132763.69
Qionghai Dai43904215.66