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基于复合特征向量提取的隐马尔可夫实时人脸识别算法
引用本文:李辉,陈锐,侯义斌,黄樟钦,张勇.基于复合特征向量提取的隐马尔可夫实时人脸识别算法[J].小型微型计算机系统,2008,29(2):329-332.
作者姓名:李辉  陈锐  侯义斌  黄樟钦  张勇
作者单位:北京工业大学,计算机学院,北京,100022
摘    要:实现了基于隐马尔可夫复合特征向量快速提取人脸识别的算法.用差分算法对实时采集到的每一帧图像快速定位到人脸区域,然后对人脸区域的数据进行规一化,并对原始图像进行DCT变换和灰度变换,以变换后的结果作为特征值对其聚类后作为隐马尔可夫模型(HMM)的观察向量,再对样本训练,训练结果制成特征脸模版存入模版库.最后通过模版对实时采集到的图像进行人脸识别.实验结果表明:该算法对复杂背景中的人脸识别具有实时性、准确性和可靠性.

关 键 词:人脸识别  隐马尔可夫模型  DCT变换  肤色模型  特征向量提取  隐马尔可夫模型  人脸  识别算法  Feature  Extraction  Complex  Based  Hidden  Markov  Model  Algorithm  准确性和可靠性  实时性  背景  实验  原始图像  模版  特征脸  训练结果  样本训练  聚类  特征值
文章编号:1000-1220(2008)02-0329-04
收稿时间:2006-10-20
修稿时间:2006年10月20

Real-time Face Recognition Algorithm Using Hidden Markov Model Based on Complex Feature Extraction
LI Hui,CHEN Rui,HOU Yi-bin,HUANG Zhang-qin,ZHANG Yong.Real-time Face Recognition Algorithm Using Hidden Markov Model Based on Complex Feature Extraction[J].Mini-micro Systems,2008,29(2):329-332.
Authors:LI Hui  CHEN Rui  HOU Yi-bin  HUANG Zhang-qin  ZHANG Yong
Affiliation:LI Hui,CHEN Rui,HOU Yi-bin,HUANG Zhang-qin,ZHANG Yong (College of Computer Science,Beijing University of Technology,Beijing 100022,China)
Abstract:An algorithm of face recognition based on Hidden Markov Model (HMM for abbreviation) is presented here.First,the difference algorithm was used to analyze each of the frames of the picture captured from camera in a real time and to position the region of the face shortly.Then,the data of the region of the face was normalized.DCT and gray transforms were applied to the raw picture,and the transformed data used as eigenvectors were clustered.Next,the clustered eigenvectors were the vector of observation of HMM...
Keywords:face recognition  HMM  DCT-trans formation  skin-model
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