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人脸检测和表情识别的动态链接库，并且含有C++调用的例子，非常适合研究人脸识别和表情识别！-face detection and expression recognition of the dynamic link library, called C and contain examples very suitable for the study face recognition and facial recognition!
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面部识别代码-facial recognition code
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人耳识别技术是20世纪90年代末开始兴起的一种生物特征识别技术，与其它生物特征识别技术比较具有以下几个特点：（1）与人脸识别方法比较，耳识别方法不受面部表情、化妆品和胡须变化的影响，同时保留了面部识别图象采集方便的优点，与人脸相比，整个人耳的颜色更加一致、图像尺寸更小，数据处理量也更小。（2）与指纹识别方法比较，耳图象的获取是一种被动方式，即通过非接触方式获取耳图像，不存在通过接触传染疾病的机会，因此，其信息获取方式具有容易被人接受的优点。（3）与虹膜识别方法比较，首先，由于人脸和头发的存在，需
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pca,用在人脸特征识别中,fisher线性判别
kpca,dwt2-pca used in facial recognition, fisher linear discriminant kpca, dwt2
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CohnKanada人脸表情库图像读取，经过预处理了的，含有类标，可用于无监督人脸表情识别,images inputing of CohnKanada database,including preprocessing and labels of 7 expressions. it is suitable for unsupervised facial expression recognition
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对人脸表情识别的一个不错的程序，对表情识别的初学者很有帮助，可以学习研究一下。,Facial Expression Recognition of a good program for beginners and useful for facial expression recognition, can learn to look at.
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vc2005做的人脸检测系统，实现有效的脸部识别,vc2005 do face detection system, to achieve effective facial recognition
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使用OPENCV实现基于隐马尔科夫过程人脸表情识别,OPENCV use of hidden Markov process based on Facial Expression Recognition
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用matlab识现人脸表情识别的方法，对于初学者matlab以及研究人脸表情识别有很大的帮助,Matlab knowledge with Facial Expression Recognition is the way to matlab for beginners as well as facial expression recognition is very useful to
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Haar-Like Feature臉部辨識程式及源代碼,是研究快速臉部辨識的好例程,Haar-Like Feature facial recognition programs and source code, is to study the fast face recognition in a good routine
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人脸表情识别中的2DPCA方法，特定人识别。-Facial Expression Recognition in 2DPCA method of identifying a specific person.
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基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-Flexible template matching based on facial expression recognition procedures. First of all, the expression for the static image of the gray-sca
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In recent times, the camera manufacturers have included a new parameter in the analysis: facial recognition. How a camera can detect if there are faces in a scene? For simple, when analyzing the data they send the AF and AE camera contrasts them with
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vc 编写的人脸识别系统，对学图像的有帮助啊-face recognition system written in vc, the image of the school help ah
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采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
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Training sample facial recognition.
You can use it in simple sample.
Or just use it.
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基于PCA特征提取和距离哈希K近邻分布的人脸表情识别-PCA-based feature extraction and distribution of K-nearest neighbor distance hash Facial Expression Recognition
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动态图像中的面部识别，基于matlab。可以通过特征识别找出ID-Dynamic image of facial recognition, based on matlab. You can find the feature recognition by ID
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facial recognition master
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面像识别训练时用到的归一化特征，进行人脸特征提取的代码(The normalization features used in facial recognition training, and the code for facial feature extraction)
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