[1]赵振勇 王保华 王力 崔磊.人脸图像的特征提取[J].计算机技术与发展,2007,(05):221-224.
　ZHAO Zhen-yong,WANG Bao-hua,WANG Li,et al.The Feature Extraction of Face Images[J].,2007,(05):221-224.
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人脸图像的特征提取()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年05期
页码:
221-224
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
The Feature Extraction of Face Images
文章编号:
1673-629X（2007）05-0221-04
作者:
赵振勇1 王保华1 王力1 崔磊2
[1]贵州大学信息工程学院[2]同济大学计算机学院
Author(s):
ZHAO Zhen-yong;  WANG Bao-hua;  WANG Li;  CUI Lei
[1]School of Information Engineering, Guizhou University[2]Computer School, Tongji University
关键词:
小波分解; 积分投影; 奇异值分解
Keywords:
wavelet decomposition;  integral projection;  singular value decomposition
分类号:
TP391.41
文献标志码:
A
摘要:
人脸识别的研究是模式识别和人工智能领域内的重要课题，有着十分广泛的应用前景。人脸特征的自动提取是人脸自动识别过程中至关重要的一个环节。主要就基于积分投影的人脸图像的特征提取、基于奇异值分解的特征提取及小波特征提取等几种较好方法进行研究。基于积分投影的人脸图像特征点的提取方法对人脸进行定位特别精确。基于小波分解频谱性分析的人脸特征提取极大减少了图像的存储空间和计算复杂度。基于SVD分解的特征提取处理后的正确率很高，计算复杂度也低
Abstract:
Research of human face recognition is an important topic in the area of pattern recognition and artificial intelligence,and it has very broad application prospects. The extraction of face features is an important part in the process of face automatic recognition. It is essential to introduce the extraction of face features based on integral projection,singular value decomposition and wavelet and so on. Bonus point projection based on the characteristics of face images from the point of methodology is precised for people face special position. Storage space and computing complexity are reduced by wavelet decomposition analysis based on the spectrum of identity from the face of great images. A high rate of correct is come out through based on characteristics extraction based on SVD decomposition

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备注/Memo

备注/Memo:
赵振勇（1978-），男，安徽六安人，硕士研究生，研究方向为神经网络、遗传算法、模式识别；王力，副教授，研究方向为人工智能、软件和软件新技术
更新日期/Last Update: 1900-01-01