首页 | 本学科首页   官方微博 | 高级检索  
     

基于Gabor小波特征的多姿态人脸图像识别
引用本文:徐杰,施鹏飞. 基于Gabor小波特征的多姿态人脸图像识别[J]. 计算机工程与应用, 2003, 39(21): 17-18,174
作者姓名:徐杰  施鹏飞
作者单位:上海交通大学图像处理与模式识别研究所,上海,200030
基金项目:上海市科学技术发展基金会资助(编号:015115022)
摘    要:多姿态人脸识别在很多领域具有重要的应用价值。基于多姿态人脸图像及Gabor小波特点选取离散化参数,对人脸图像进行Gabor小波变换;然后采用两步降维法对变换系数进行降维,基于降维后的Gabor特征表示实现人脸识别。实验将互不相交的两个样本集依次作为训练集和测试集,验证了该方法在人脸识别中对于不同姿态和表情的有效性及鲁棒性。

关 键 词:Gabor小波  人脸识别  主元分析  降维
文章编号:1002-8331-(2003)21-0017-02

Pose-Varied Face Recognition Based on Gabor Wavelet Features
Xu Jie Shi Pengfei. Pose-Varied Face Recognition Based on Gabor Wavelet Features[J]. Computer Engineering and Applications, 2003, 39(21): 17-18,174
Authors:Xu Jie Shi Pengfei
Abstract:Pose-varied face recognition is important in many research areas.Based on the analysis of Gabor wavelet and pose -varied face images,discrete Gabor wavelet is applied to face images with parameters deliberately selected.A method named two step dimension reduction is used to reduce the dimension of Gabor feature vector.Based on the reduced Gabor wavelet representation of face images and a certain distance measure,two groups of images,which share no intersection,are used as train group and test group in turn to test the robustness of Gabor wavelet representation to varied poses and deferent facial expressions.The result shows that high recognition rate for pose-varied face recognition can be obtained based on this Gabor wavelet features.
Keywords:Gabor wavelet  Face recognition  Principal component analysis  Dimension reduction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号