计算机工程与科学2012，Vol.34Issue(12)：130-133,4.DOI:10.3969/j.issn.1007-130X.2012.12.022
结合小波变换和稀疏表征的鲁棒人脸识别
Robust Face Recognition Based on Wavelet Transform and Sparse Representation
摘要
Abstract
It is currently a hot research topic that how to improve the robustness of the face recognition and reduce the influence of light,expression and occlusion. A robust face recognition method combining sparse representation and wavelet transform is proposed in this paper. Firstly, the original images are decomposed into four sub-band images(LL、 LH、 HL、 HH) by applying wavelet transform, and the four different band images are chosen as basic functions to construct the dictionary. Secondly, the sub-band LL of testing images is decomposed sparsely. Finally, the classifier based minimal reconstruction error is used for identification. The experiment result on Yale face databases shows this method is better than the comparative method.关键词
人脸识别/小波变换/稀疏表征/正交匹配追踪/压缩感知/鲁棒性Key words
face recognition/wavelet transform/sparse representation/orthogonal matching pursuit/ compressed sensing robustness分类
信息技术与安全科学引用本文复制引用
罗敏,郑明辉..结合小波变换和稀疏表征的鲁棒人脸识别[J].计算机工程与科学,2012,34(12):130-133,4.基金项目
湖北省自然科学基金资助项目(2012FFC023) （2012FFC023）
湖北省教育厅创新团队项目(T201214) （T201214）
