| 基于Gabor滤波和神经网络的人脸检测方法研究 |
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| 引用本文： | 曲仕茹,熊波. 基于Gabor滤波和神经网络的人脸检测方法研究[J]. 西北工业大学学报, 2011, 29(5): 690-694 |
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| 作者姓名： | 曲仕茹 熊波 |
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| 作者单位： | 西北工业大学自动化学院,陕西西安,710129 |
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| 摘 要： | 文章针对复杂背景下彩色图像中人脸检测算法复杂度大、计算时间长的问题,提出了一种改进方法。对输入图像进行自适应光照补偿,按色彩变化建立YCbCr肤色模型,筛选潜在人脸区域;对该区域进行Gabor滤波获得图像特征向量,用主成分析法对其降维;利用经训练的神经网络对候选区域进行判别。仿真实验表明该方法检测算法复杂度明显降低,精度可以达到95%以上。
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| 关 键 词： | Gabor滤波 肤色模型 神经网络 人脸检测 |
A New and Better Face Detection Algorithm Using Gabor Filter and Neural Network |
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| Qu Shiru,Xiong Bo. A New and Better Face Detection Algorithm Using Gabor Filter and Neural Network[J]. Journal of Northwestern Polytechnical University, 2011, 29(5): 690-694 |
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| Authors: | Qu Shiru Xiong Bo |
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| Affiliation: | Qu Shiru,Xiong Bo(Department of Automatic Control,Northwestern Polytechnical University,Xi'an 710072,China) |
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| Abstract: | Aim.The introduction of the full paper reviews some papers in the open literature and then,keeping in mind their two major shortcomings,proposes the research mentioned in the title,which we believe to be new and better and which is explained in sections 1 thorough 6.The core of our explanation consists of: with our algorithm,we can solve the problem of face detection in color images or in complex background.First,we make the self-adaptive lighting compensation,build the YCbCr face model using nonlinear colo... |
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| Keywords: | algorithms feature extraction independent component analysis models neural networks simulation face detection face model Gabor filter principal component analysis(PCA) |
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