id: 05627751
dt: j
an: 05627751
au: Qu, Xiaoe; Zhao, Yang; Shi, Zhenghao
ti: Face recognition basde on curvelet and PCA.
so: J. Comput. Appl. 28, No. 5, 1255-1256 (2008).
py: 2008
pu: Science Press, Beijing
la: ZH
cc: 
ut: curvelet transform; principal components analysis (PCA); face recognition;
    anisotropy
ci: 
li: doi:10.3724/SP.J.1087.2008.01255
    http://www.computerapplications.com.cn/EN/abstract/abstract11499.shtml
ab: Summary: A new method combining curvelet transform and principal components
    analysis (PCA) is presented for face recognition. Considering the
    disadvantage of wavelet, say, it is only optimal in representing point
    singularities, we use curvelet transform to extract facial features.
    The facial features being mostly curves, curvelet transform directly
    takes edges for representation, resulting in a more powerful feature
    extraction. PCA is then used to map the feature into more meaningful
    subspace, hence we get higher recognition rate. The experiments
    demonstrate the effectiveness of the proposed method.
rv: