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基于opencv的人眼检测分类器，检测精度还不错，希望能给大家带来一些帮助-Opencv eye detection based on the classification, detection accuracy is also good, hope we can bring some help
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关于消除红眼的一些帮助算法，可以帮助一些对不了解这些方面知识的同学了解相关知识。-On the elimination of some of the red-eye to help algorithm that can help some students do not understand these knowledge to understand the relevant knowledge.
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基于OpenCV CascadeClassifier的人脸和人眼检测代码,用到两个训练好的分类器-Good classifier based the OpenCV CascadeClassifier face and eye detection code, used in the two training
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这里包含高质量的Gabor实现代码，基于OpenCV。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Gabor included here to achieve high-quality code, based on OpenCV. Gabor transform can be achieved in multiple scales, multiple orientations of the transform
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OpenCV eye detection
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OpenCV Tracking Eye with Blind detection Source Code
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已经训练好的人眼检测分类器，可以直接用于opencv中，方便大家学习-Detection of the human eye has been trained classifier, can be directly used in opencv, to facilitate learning
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人眼检测,含有源码，opencv运行，用C++完成-eye detection
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eye detection opencv
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基于opencv和vc++6.0实现的人脸检测，鼻子，嘴巴检测，眼睛检测。AVI播放器，手写数字识别，图像缩放等。-The opencv and vc++6.0 of realized based face detection, nose, mouth detection and eye detection. AVI player, handwritten numeral recognition, image scaling.
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在opencv中通过摄像机进行人脸京人眼检测，在opencv2.4下测试成功-Camera in opencv face the Beijing eye detection tested successfully under opencv2.4
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采用linux下的opencv进行人眼瞳孔检测-Opencv under linux pupil detection of the human eye
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这是一个基于opencv的人眼检测程序，并且可以看到调试的结果，现分享给大家-This is based opencv eye detection program, and you can see the results of debugging, we now share
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人眼检测基于opencv人眼定位算法 很详细实用-eye detection
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疲劳检测，通过opencv实现人脸人眼识别和疲劳检测 -Fatigue detection by opencv for face recognition and eye fatigue detection
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基于opencv的haar+adaboost训练器的人脸和人眼检测，带有训练好的xml文件。-Opencv based haar+ adaboost face and eye detection trainer, having trained xml file.
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opencv 进行肤色检测，可以有效去除眼部，效果明显-opencv skin color detection, the eye can be effectively removed, the effect is obvious
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可以在 opencv安装目录opencv\sources\data中找到。方便大家下载，故上传在这里。人脸检测，人脸识别，人眼检测，鼻子检测，嘴检测等等训练好的xml文件(You can find it in the opencv installation directory opencv\sources\data. Convenient for everyone to download, so upload here. Face detection, face recognition, eye
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提取人脸特征点，检测闭眼，根据闭眼持续时间，判断是否是疲劳(Extracting face feature points, detecting closed eyes, judging whether it is fatigue according to the duration of closed eye.)
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