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HaarTraining
- Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features-Rapid Object Detection With A Cascade of Bo osted Classifiers Based on Haar - like Features
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- 非常好的人脸以及人眼检测的例子。OpenCV支持的目标检测的方法是利用样本的Haar特征进行的分类器训练，得到的级联boosted分类器（Cascade Classification）。注意，新版本的C++接口除了Haar特征以外也可以使用LBP特征。-Very good example of the human face and the human eye to detect. OpenCV supported target detection method is carried out us
harrtrack
- 利用级联的Haar分类器寻找检测目标，这是OPENCV上的程序，与大家分享-Using the Haar classifier cascade find Detected goals, OPENCV This is on the procedures to share with you
haar
- 利用opencv编写的，利用级联的haar分类器寻找检测目标-Prepared using opencv using the haar classifier cascade testing to find the target
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- 基于OPENCV的环境下，利用级联Ｈaar分类器寻找检测目标-OPENCV based environment, the use of Haar classifier cascade find testing targets
faceEye
- 基于haar级联分类器的opencv人眼识别程序，思路是先识别人脸，然后以人脸为ROI识别人眼。-Haar cascade classifier based on opencv human eye recognition program, the idea is to recognize faces, and then face the human eye to identify the ROI.
positive
- haar-like 训练正样本 有大概几十张图片可以供来训练cascade detector-postive samples