首页 | 本学科首页   官方微博 | 高级检索  
     

基于局部特征分析的人脸识别方法
引用本文:焦峰,山世光,崔国勤,高文,李锦涛.基于局部特征分析的人脸识别方法[J].计算机辅助设计与图形学学报,2003,15(1):53-58.
作者姓名:焦峰  山世光  崔国勤  高文  李锦涛
作者单位:1. 中国科学院计算技术研究所数字化技术研究室,北京,100080
2. 中国科学院计算技术研究所数字化技术研究室,北京,100080;哈尔滨工业大学计算机学院智能人机接口实验室,哈尔滨,150001
基金项目:国家“八六三”高技术研究发展规划项目“生物特征识别核心技术与关键问题研究”(2 0 0 1AA114 190 )课题,银晨网讯科技有限公司资助
摘    要:在传统的弹性图匹配基础上,提出一种基于局部特征分析的人脸识别算法。该方法利用人脸的先验结构和人脸图像的灰度分布知识,首先粗略地找出人脸图像的特征点,然后利用人脸弹性图对特征点的位置进行调整。最后在各个特征点处计算Gabor变化的系数,人脸相应被表示为特征点处的Gabor系数集合,对提取的特征向量用几种不同的度量距离来进行分类,并给出测试结果。实验表明,该方法优于传统的Eigenface方法,特别适用于训练图像样本较少的情况。相对于传统的弹性图匹配方法,该方法由于人脸特征点预先被估算出,而不是在整个图像上搜索,所以大大减少了计算量。

关 键 词:局部特征分析  人脸识别  特征定位  人脸弹性图  人脸图像  计算机  模式识别
修稿时间:2001年10月16

Face Recognition Based on Local Feature Analysis
Jiao Feng Shan Shiguang Cui Guoqin Gao Wen , Li Jintao.Face Recognition Based on Local Feature Analysis[J].Journal of Computer-Aided Design & Computer Graphics,2003,15(1):53-58.
Authors:Jiao Feng Shan Shiguang Cui Guoqin Gao Wen  Li Jintao
Affiliation:Jiao Feng 1) Shan Shiguang 1) Cui Guoqin 1) Gao Wen 1),2) Li Jintao 1) 1)
Abstract:A face recognition method based on feature analysis is presented here. The local features are first located by the face structure knowledge and gray level distribution information, rather than searching the whole image as it does in Elastic Bunch Graph Matching. The coarse positions of the features are located, and then we use a data structure named Face Bunch Graph to adjust the feature positions. After the accurate positions of the features are located, the face is represented by the Gabor jets, which calculated on these local feature positions. Several distance metrics are tested and the results are given. In our experiment, this method works better than the Eigenface, and consumes less time than the traditional Elastic Bunch Graph method.
Keywords:face recognition  feature location  Gabor jets  face bunch graph
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