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基于特征脸的人脸检测方法，由MATLAB编制而成-based on feature for Face detection methods, compiled by MATLAB
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利用matlab实现人脸识别，将facefind函数生成.dll动态链接库，检测准确，可以检测到侧面图像，识别率95 以上。-Using matlab to achieve recognition, the facefind function generates. Dll the dynamic link library, testing is accurate, can detect the side of the image, recognition rate of 95 or more.
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基于肤色模型的人脸检测程序，通过高斯模型建立相似度函数，再经过最佳阈值法来进行二值化，在经过形态学处理得到人脸区域。-Skin color model based on face detection process, the establishment of the similarity function by the Gaussian model, and then through the optimal threshold method for the two values, obtaine
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基于肤色的人脸检测MATLAB源代码皮肤检测的最终目标是构建一个决策规则，并以此将图像中的像素划分为肤色和非肤色两类，一般通过引入一个衡量像素点颜色与“标准肤色”的距离而实现的，该距离是由相应肤色建模的方法决定的-Face detection based on skin color skin detection MATLAB source code for the ultimate goal is to build a decision-making rules, and use of the
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皮肤检测的最终目标是构建一个决策规则，并以此将图像中的像素划分为肤色和非肤色两类，一般通过引入一个衡量像素点颜色与“标准肤色”的距离而实现的，该距离是由相应肤色建模的方法决定的。人脸检测MATLAB源代码关于彩色图像光照补偿-The ultimate goal of skin detection is to build a decision-making rules, and use of the image pixels into skin and non-Fuse types, usuall
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该程序主要实现的是人脸的识别，压缩包中含有具体的实现代码，操作步骤，和图片集，通过简单操作即可由一个人的测试图片识别出该人多达10个角度的检测图片。实现工具是MATLAB。-The main achievement of the program is face recognition, compression package contains detailed codes, steps, and pictures set the detection angle up to 10 pictures
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此为用MATLAB语言写的基于KPCA、PCA算法的人脸检测程序，对于对比学习KPCA和PCA有很大帮助-This is the face detection program which is written by matlab , and it will help you a lot to learn the difference between KPCA and PCA
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