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基于Gabor变换的人脸特征提取,针对Gabor小波的缺点,引进LBP算子,并采用LPP和PCA降维

于 2022-04-08 发布 文件大小:14.03 kB
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资源描述 基于Gabor变换的人脸特征提取算法。通过对人脸傅里叶变换和Gabor变换的实验比较,证明了Gabor变换在提取人脸特征方面具有很大的优越性。接着,介绍了Gabor小波变换的快速算法。     (2)针对 Gabor小波的缺点,引进LBP算子,该算子的使用能有效的克服Gabor小波变换的缺点。另外还详细介绍了如何提取“特征脸”的原理和实现过程,对Gabor滤波器参数的选择问题也作了详细说明。 (3) 针对Gabor和LBP提取的人脸特征向量维数过高问题,本文分别采用了LPP和PCA 请点击左侧文件开始预览 !预览只提供20%的代码片段,完整代码需下载后查看 加载中 侵权举报

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