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计算机视觉—人脸识别(Haar特征+Adaboost分类器)(7)

 5 years ago
source link: https://juejin.im/post/5b0e6f83f265da0910791a38
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一、Haar特征原理综述 Haar特征是一种反映图像的灰度变化的,像素分模块求差值的一种特征。它分为三类:边缘特征、线性特征、中心特征和对角线特征。用黑白两种矩形框组合成特征模板,在特征模板内用 黑色矩形像素和 减去 白色矩形像素和来表示这个模版的特征值。例如

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