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This article is an extention of an article that I posted on CodeProject earlier (See http://www.codeproject.com/KB/mcpp/iss.aspx). This project demonstrates how to perform human face and eye detection using OpenCV in .NET. The detection is performed
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这里包含三个高质量的Gabor实现代码，分别基于C、OpenCV、Matlab，大家各取所需吧。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。
,Here are three high-quality implementation of the Gabor code, respectively, based on C, OpenCV, Matlab, let everyone take what we need
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在VC++环境下利用OPENCV实现人眼检测和识别，并判断驾驶员是否疲劳，自动提醒驾驶员停止驾驶。-In VC++ environment using OPENCV achieve detection and recognition of the human eye and determine whether driver fatigue, and automatically alerts the driver to stop driving.
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Face and Eyes Detection Using OpenCV.
Introduction
This article is an extension of an article that I posted on CodeProject earlier. This project demonstrates how to perform human face and eye detection using OpenCV in .NET. The detection is perfo
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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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Opencv eye detection tools. From coedeproject
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A haar cascade for eyes written in XML for opencv and eye detection
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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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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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针对基于自适应光学技术的人眼眼底待拼接图像灰度、清晰度不一致以及细节的差异使检测出的角点无法匹配，进而导致图像不能拼接的问题，提出一种在OpenCV配置环境下角点检测的基础上，进行角点匹配的新方法-Adaptive optics for the human eye fundus to be gray stitching, inconsistent, and details of the differences in definition so that the detected corners
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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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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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