| 人脸识别中应用小波变换的三个关键问题 |
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| 引用本文： | 李国军. 人脸识别中应用小波变换的三个关键问题[J]. 计算机与现代化, 2009, 0(1) |
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| 作者姓名： | 李国军 |
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| 作者单位： | 浙江警察学院,浙江,杭州,310053 |
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| 摘 要： | 由于小渡分解在空域和频域上都能提供良好的局部信息,尤其是在小渡分解后可以减少图像的分辨率,进而相应地减少计算复杂度,因此小波变换经常用于图像处理和图像分析中.本文讨论小波变换用于人脸识别的三个关键问题:小波基的选择、分解层数和小波子图的确定,通过实验分析和比较研究得出相应的答案和指导原则,并提出了一种新的人脸识别方法.
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| 关 键 词： | 小波变换 人脸识别 小波基选择 分解层数 小波子图 |
Three Key Problems of Wavelet Transform in Application of Human Face Recognition |
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| LI Guo-jun. Three Key Problems of Wavelet Transform in Application of Human Face Recognition[J]. Computer and Modernization, 2009, 0(1) |
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| Authors: | LI Guo-jun |
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| Affiliation: | Zhejiang Police College;Hangzhou 310053;China |
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| Abstract: | Wavelet transform(WT) is a very popular tool for image analysis,because WT has the advantages of good time and frequency localizations,and the resolutions of the subband images are reduced by decomposing an image using WT.In turn,the computational complexity will be reduced dramatically by working on a lower resolution image.Three important problems are proposed about the WT's application in human face transform: selection of wavelet base,the wavelet decomposition level and the wavelet subbands.At last,the ... |
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| Keywords: | wavelet transform human face recognition selection of wavelet base decomposition level wavelet subbands |
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