| 基于EHMM的人脸识别 |
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| 引用本文： | 谈昌彬,李一民.基于EHMM的人脸识别[J].云南民族大学学报(自然科学版),2006,15(4):285-288. |
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| 作者姓名： | 谈昌彬 李一民 |
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| 作者单位： | 昆明理工大学,信息工程与自动化学院,云南,昆明,650051 |
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| 摘 要： | 人脸识别系统从广义上说大致可以分为人脸检测、定位与跟踪,人脸表征,人脸识别,表情/姿势分析,生理分类等五个方面.人脸的特征提取和人脸图像匹配这两部分是最重要的,也是决定人脸识别系统的准确性和效率所在.采用2D-DCT变换进行人脸特征提取和EHMM模型进行人脸图像匹配(人脸识别),并用多样本加权合成的EHMM训练的方法,取得了较高的速度和识别率.
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| 关 键 词： | 人脸识别 特征提取 2D-DCT EHMM 图象匹配 |
| 文章编号： | 1672-8513(2006)04-0285-04 |
| 修稿时间： | 2006年3月27日 |
Face Recognition Base on EHMM |
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| Tan Changbin,Li Yimin.Face Recognition Base on EHMM[J].Journal of Yunnan Nationalities University:Natural Sciences Edition,2006,15(4):285-288. |
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| Authors: | Tan Changbin Li Yimin |
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| Abstract: | Generally speaking,face recognition system is made up of five groups,which are called face detection,location and tracing,face representation,face recognition,expression/gesture analysis and face physical classification.In the face recognition systerm,face detection and face recognition are the most important facets.They also determine the face recognition system's correction and efficiency.In this paper,the 2D-DCT in face eigenvalue's extraction and EHMM mode in face image matching(face recognition),and the multiswatch weight synthetic trained method are explayed.It is obvious that the method has gained better recognition rate and rapidity. |
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| Keywords: | face recognition eigenvalue extraction 2D-DCT EHMM image matching |
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