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基于opencv lbp的人脸检测算法，利用facedetect函数快速检测到人脸，提高检测速度，优化检测方法。-Face detection algorithm based on LBP facedetect, using OpenCV function to quickly detect human face, improve the detection speed, and optimize the detection method.
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通过VS+OPENCV实现人脸检测，可将程序复制到工程中，即可使用-By VS+OPENCV implement face detection, you can copy the program to the project, you can use
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通过opencv实现了对图像采用Haar特征实现中人脸检测的功能-Through the opencv realized of face detection in image using Haar feature implementation functions
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Python
face detection
Opencv
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基于Opencv库的脸部识别，可识别出人脸并用圆画出，并可上升至识别眼睛区域。-Face recognition based on the Opencv library, you can identify the face and draw a circle, and can rise to identify the eye area.
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Python scr ipt to detect faces. It uses two haar cascade trained to recognise faces and eyes. The haar cascade are included. In uses OpenCV so it is required.
The scr ipt is written in Python 3.
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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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python+opencv，实现基本的人脸检测，精度我觉得还可以，当然测试量不够大，也只是作为一个给初学者的小例子。(To achieve the basic face detection, I think it can be accurate, of course, the test volume is not large enough, but also as a small example for beginners.)
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该程序可以追踪人脸并检测人脸的面部特征，从而达到识别人脸的功能，利用了OPENCV的图形处理功能，自动追踪人脸，检测与已载入的数据库进行匹配，进行识别，最终会给出检测结果。(The program can track the face and detect the facial features of the face, so as to achieve the function of recognizing the face, the use of OPENCV graphics proces
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基于OPENCV的人脸识别功能,能使用默认级联检查器检测正常人脸。(face detection based on opencv and c language.)
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利用opencv实现人脸识别，有效的快速定位并圈出位置(The face detection using OpenCV)
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讲解了进行人脸检测和人脸识别的一些算法流程，和一些需要注意的东西(Explained the face detection and face recognition algorithm flow, and some things need attention)
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检测人脸，基于MFC界面。当录入照片后，摄像头再遇到相同的人脸能够识别出来。(Detection of face, based on the MFC interface. When the photos are recorded, the camera can be identified with the same face.)
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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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基于opencv3.0的实现人脸检测，供参考(Realization of face detection)
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CNN人脸检测VS2015+Opencv310(cnn face detection VS2015+Opencv310)
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基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
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face++人脸识别API调用；openCV-python人脸检测；(Face++ face recognition API call; openCV-python face detection;)
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简单的人脸检测程序，基于opencv与vs，误检率有点高(Simple face detection program, based on OpenCV and vs, the error detection rate is a bit high)
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基于Qt+OpenCV的人脸检测识别软件(Face detection and recognition software based on Qt+OpenCV)
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