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利用OpenCv开发的一个基于adaboost算法和haar小波变换的人脸算法,具体情况可参考Paul Viola ,Robust Real-Time Face Detection,2004-OPEN development of the use of an algorithm based on adaboost haar wavelet transform and the Face algorithm specific reference Paul Viola, Robust Real-Tim
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基于Haar特征的多特征快速人脸检测,基于Haar特征的多特征快速人脸检测.-Haar based on the characteristics of fast multi-feature Face Detection, Haar-based features of the characteristics of the multi-face detection rapidly.
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人脸识别MATLAB工具箱
Faces detection toolbox v 0.1 -This toolbox provides some tools for faces detection using Local Binary Patterns and Haar features.
The task of detection is done by boosting approaches such Adaboosting, FastAdaboosting and Gentleboos
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haar小波处理 分类器 人脸检测 多级分类器-haar wavelet processing of face detection classifier multi-classifier
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基于哈尔小波变换的人脸识别程序
本程序识别速度快，占有容量短。-Ultra Rapid Object Detection in Computer Vision Applications with Haar-like Wavelet Features
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face detection haar clasifier
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透過jjil在android上實實現haar人臉偵測 可直接使用。
-On the android through jjil in real haar face detection can be used directly.
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用OpenCV封装的Haar算法进行人脸检测，检测目标可以是多个人脸。-Face detection using Haar algorithm of OpenCV package, target detection can be more than one person face.
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基于adaboost人脸检测，用生成好的样本。（用到OPENCV读取图像的库，使用前请下载opencv244）-Adaboost based face detection with generating good samples.
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OpenCV Haar人脸检测静态化库函数，将xml文件静态化处理了，所以直接调用即可，无需xml文件了。-OpenCV Haar face detection static library functions, the static xml file processing, so you can directly call without xml files.
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VS2013 OpenCV2.4.11人脸检测代码，该代码使用Haar特征分类器对图像中的人脸进行检测并圈出。-VS2013 OpenCV2.4.11 face detection code, the code USES the characteristics of Haar classifier to detect human faces in the images of the circle.
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人脸检测HAAR特征积分图的计算，第一次上传，没什么用～-HAAR face detection feature integral image calculation.
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是一个基于haar特征的人脸检测算法，通过OPen cv自带的库文件运行程序，交流请联系chinaqinyh@163.com-Is based on haar features face detection algorithm, OPen cv library file that comes with running the program, please contact chinaqinyh@163.com exchange
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opencv入门级C++程序代码调试，第三课：识别一张人脸二维静态图片，采用haar特征识别算法。-Opencv entry level debugging c++ program code, the third class: identification of a human face 2 d static image, using haar feature recognition algorithm.
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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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用python语言实现的基于Harr特征的人脸检测算法，可以用于人脸的检测，眼睛，鼻子等脸部五官的检测-Using python language based on the Harr feature-based face detection algorithm can be used for the detection of face, eyes, nose and other facial features detection
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主要是利用Haar分类器方法进行人脸检测，在程序中可以做到人脸识别，和人脸检测，即可以检测到人脸，识别出人脸。-Mainly using Haar classifier for face detection, in the program can do face recognition, and face detection, which can detect the face, identify the face
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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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Domain classic Haar face detection, face detection using OpenCV, pretty good
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Domain classic Haar face detection, face detection using OpenCV, pretty good
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