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是一个改进的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 ，论文已经发表 ，请勿侵权-Haar feature is an improved face detection algorithm, OPen cv library file that comes with running the program, the exchange of contact chinaqinyh@163.com, papers have been
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介绍了一种新的基于肤色模型的人脸检测算法，给出了具体的参数，可直接在已有模型上进行改进。-We introduce a new model based on skin color face detection algorithm, given the specific parameters can be modified directly on the existing model.
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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人脸识别，基于svm算法检测人脸是否配戴眼镜-Face recognition, face detection algorithm based on svm whether to wear glasses
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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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FDDB人脸数据集评估C++代码，从官网上下载的，拿来就能用，用于评估人脸检测算法检测率及误检率。-FDDB face data set to assess the C++ code, downloaded the official website, used to be able to use, for the assessment of human face detection algorithm detection rate and false detection rate.
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快速的人脸检测算法，基于肤色，MATLAB源代码-Fast face detection algorithm, based on skin color, MATLAB source code
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融合YCbCr肤色模型与区域标记的人脸检测算法研究-Fusion YCbCr color model and the research area of face detection algorithm
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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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本程序是基于肤色模型的人脸检测算法编写的代码，是在VS2010上面测试过可以使用的。-This procedure is based on the code color model face detection algorithm written in VS2010 tested above can be used.
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In this paper,we address the effect of illumination on the face detection and the face recognition problem by introducing a novel illumination invariant method, called OptiFuzz. It is an optimized fuzzy-based illumination invariant method to solve th
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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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人脸检测识别与MATLAB实现，人脸检测算法，编程实现人脸图像分割-Face detection recognition and MATLAB implementation, face detection algorithm, programming to achieve face image segmentation
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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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基于肤色的人脸检测算法，将彩色图像转换成Ycbcr图像，再根据肤色聚类 从而分割出人脸-Based on the skin color s face detection algorithm, the color image is converted to the image of Ycbcr, and the face is divided according to the color of the skin
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object detection using KLT algorithm
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人脸检测：
第一部分，使用Harr-like特征表示人脸，使用“ 积分图”实现特征数值的快速计算;
第二部分， 使用Adaboost算法挑选出一些最能代表人脸的矩形特征( 弱分类器)，按照加权投票的方式将弱分类器构造为一个强分类器;
第三部分， 将训练得到的若干强分类器串联组成一个级联结构的层叠分类器，级联结构能有效地提高分类器的检测速度。(Face detection:
In the first part, the Harr-like feature is used t
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face detection algorithm in matlab
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