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Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
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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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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
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his program is demonstration for face and object detection using haar-like features.
The program finds faces in a camera image or video stream and displays a red box around them.
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人脸及行人检测中在opencv中要用到的haarcascade_righteye_2splits.xml，即特征检测的haar分类器，包括正面，侧边，上下左右各种，很全面-Face and pedestrian detection in opencv use to haarcascade_righteye_2splits.xml, feature detection haar classifier, including front, side, up and down various, very
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fdtool toolbox for face recognition/detection uses MBLBP/Haar features with Adaboost classifier
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基于opencv的人脸识别程序，基于haar的adoboost检测方法-Face recognition program based opencv，Adoboost based detection methods haar
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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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使用opencv自带的haar特征分类器，进行人脸检测的程序代码。-A program with opencv inside classifier for face detection
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This haar cascade for OpenCV face detection-This is haar cascade for OpenCV face detection
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利用opencv进行人脸检测，运用了adaboost的haar特征-Use opencv face detection, the use of haar features adaboost
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基于adaboost的正面人脸检测 通过对haar特征的提取来进行训练与识别-face detection by adaboost
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运用Adaboost算法haar分类器实现的人脸检测，帧率是32。-Using Adaboost face detection algorithm of Haar classifier, the frame rate is 32.
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用于人脸检测的haar+adaboost matlab的代码-For face detection haar+adaboost matlab code
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经典的Haar-like+adboost级联训练的人脸检测算法-The classic Haar-like+adboost cascade training of face detection algorithm
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用adaboost对人脸检测，利用haar特征对积分图像进行训练，得到强弱分类器(Face detection is done by AdaBoost, and integral image is trained by Haar feature, and the strong and weak classifier is obtained.)
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