| 基于Gabor滤波器和改进BP神经网络的人脸检测方法 |
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| 引用本文： | 闫文秀,裴建岗,孙颖,金卫东.基于Gabor滤波器和改进BP神经网络的人脸检测方法[J].重庆工学院学报,2009,23(4):98-102. |
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| 作者姓名： | 闫文秀 裴建岗 孙颖 金卫东 |
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| 作者单位： | 兰州交通大学电子与信息工程学院; |
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| 基金项目： | 甘肃省自然科学基金资助项目(0710RJ2A046) |
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| 摘 要： | 提出一种基于Gabor滤波器和改进BP神经网络的人脸检测方法.该方法首先利用Gabor滤波器空间位置与方向选择特性,采用8种方向Gabor滤波器提取人脸样本图像特征;然后把基于Gabor滤波器的特征向量作为人脸/非人脸分类器输入,并用PCA方法对特征向量降维;最后利用已降维的特征训练改进的BP神经网络.仿真实验表明,该方法比单一使用Gabor滤波器和单一使用BP神经网络检测率高.
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| 关 键 词： | Gabor滤波器 BP神经网络 人脸检测 |
A Face Detection Method Based on Gabor Filters and Improved BP Neural Network |
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| YAN Wen-xiu,PEI Jian-gang,SUN Ying,JIN Wei-dong.A Face Detection Method Based on Gabor Filters and Improved BP Neural Network[J].Journal of Chongqing Institute of Technology,2009,23(4):98-102. |
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| Authors: | YAN Wen-xiu PEI Jian-gang SUN Ying JIN Wei-dong |
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| Affiliation: | School of Electronic and Information Engineering;Lanzhou Jiaotong University;Lanzhou 730070;China |
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| Abstract: | This paper presents a face detection method based on Gabor filters and improved BP neural network.First,the method uses the characteristics of spatial locality and orientation selectivity of Gabor filters to design eight orientation filters for extracting facial sample features from face images;Then,the feature vector based on Gabor filters is used as the input of the face/non-face classifier,and a reduced feature subspace is learned by principal component analysis(PCA);Finally,the improved BP neural networ... |
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| Keywords: | Gabor filters BP neural network face detection |
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