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Description: 用adaboost算法检测人脸时，主要是用Haar特征，这个是用c++编写的代码，欢迎大家下载并参考-with adaboost Face Detection Algorithm, it is mainly used Haar features, This is used to prepare the c code and you are welcome to download and reference!
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Size: 8192 |
Author: 程艳花 |
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Description: HARR小波的VC实现源代码,能用于人脸检测与识别-HARR wavelet implementation of the VC source code, can be used for Human Face Detection and Recognition
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Size: 907264 |
Author: 赵键 |
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Description: 这是一篇关于分类器的文章 OpenCV训练分类器,该方法的基本步骤为： 首先，利用样本（大约几百幅样本图片）的 harr 特征进行分类器训练，得到一个级联的boosted 分类器。-Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost
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Size: 80896 |
Author: 周可 |
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Description: 讲述了harr-like特征，以及adaboost的训练方法-About harr-like features, and training methods adaboost
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Size: 293888 |
Author: 玲玲 |
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Description: 基于dsp的人脸识别，使用harr特征和adaboost级联分类器(Based on dsp face recognition, use the harr feature and the adaboost cascade classifier)
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Size: 3505152 |
Author: devil00
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Description: 人脸检测：
第一部分，使用Harr-like特征表示人脸，使用“ 积分图”实现特征数值的快速计算;
第二部分， 使用Adaboost算法挑选出一些最能代表人脸的矩形特征( 弱分类器)，按照加权投票的方式将弱分类器构造为一个强分类器;
第三部分， 将训练得到的若干强分类器串联组成一个级联结构的层叠分类器，级联结构能有效地提高分类器的检测速度。(Face detection:
In the first part, the Harr-like feature is used to represent the human face, and the "integral graph" is used to realize the fast calculation of feature values;
In the second part, the Adaboost algorithm is used to select some rectangular features (weak classifiers) that represent the human face, and the weak classifier is constructed into a strong classifier according to weighted voting;
In the third part, a series of strong classifiers are formed in series to form a cascade classifier with cascading structure, and the cascade structure can effectively improve the detection speed of classifier.)
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Size: 2048 |
Author: 14024235
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