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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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人脸表情识别的Gabor小波变换，最终得到5个尺度，8个方向的不同特征，此程序参考文件Gabor feature classification using enhanced FLD model facial recognition-Facial Expression Recognition of Gabor wavelet transform, finally be five scale, eight directions of different characteristics, this p
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We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality red
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基于PCA的人脸表情识别，可以辨别高兴，愤怒和厌恶三种表情。
-In this project, Eigenfaces are used to classify facial expression. It has been assumed that, facial expression can be classified into some discreet classes (like anger, happiness, disgust or sadness) whereas:
1. A
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人脸表情识别matlab程序LBP+LPQ算法融合，SVM分类-facial expression recognition algorithm
fusion of LBP and LPQ，clssify by OAA SVM
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