| 基于RBF网络的人脸识别和表情分析方法研究 |
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| 引用本文： | 高攀,赵亮,汪传建.基于RBF网络的人脸识别和表情分析方法研究[J].石河子大学学报,2014(2):255-259. |
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| 作者姓名： | 高攀 赵亮 汪传建 |
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| 作者单位： | [1]石河子大学信息科学与技术学院,石河子832003; [2]新疆兵团常设技术市场办公室,乌鲁木齐830000 |
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| 基金项目： | 国家自然科学基金项目（61262021）,教育部社科研究基金项目（11XJJAZH001）,石河子大学科学技术研究发展计划项目（2012ZRKXYQ18） |
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| 摘 要： | 为解决人脸识别过程中出现的无法有效区分多姿态人脸的问题,进一步提高人脸表情识别率。本文在分析现有人脸表情识别方法的基础上,提出新的识别技术,即采用基于径向基函数(RBF)神经网络的方法,首先对图像皮肤和非皮肤像素进行分离,把人脸区域从检测到的皮肤区域中提取出来,然后以人脸表情数据库JAFFE为测试数据库,对人脸图像进行Gabor小波变换(GWT)和离散余弦变换(DCT),最后将该算法用于径向基函数神经网络的训练过程,建立相应优化模型,并将其应用到人脸表情的识别中,研究结果表明,具有收敛速度快、识别率高等优点,比文献中的方法提高了3%和8%的识别率。
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| 关 键 词： | 人脸识别 径向基函数 Gabor小波变换 离散余弦变换 |
RBF Based Face Recognition and Expression Analysis |
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| Institution: | GAO Pan, ZHAO Liang, WANG Chuanjian (1 College of Information Science and Technology,Shihezi University,Shihezi 832003,China; 2 Office of Standing technology Market,The Xinjiang Production and Construction Corps,Urumqi 83000,China) |
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| Abstract: | During face recognition,there exists a serious problem that it is very difficult to distinguish faces of various gestures. On the basis of the analysis of the existing facial expression recognition methods, this paper proposes a new recognition technology,skin and non-skin pixels were separated.RBF neural network is enrolled to recognize various faces.Face regions were extracted from the detected skin regions.Facial expressions are analyzed from facial mages by applying Gabor wavelet transform （GWT） and Discrete Cosine Transform （DCT） on face images.Finally applied the new algorithm to the problem of expression recognition.The results show that,this method has fast convergence speed,high recognition rate,than the methods in literatures to improve the recognition rate of 3% and 8%. |
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| Keywords: | face recognition radial basis function gabor wavelet transform discrete cosine transform |
| 本文献已被 CNKI 维普 等数据库收录！ |
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