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在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为
使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分
析包括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析
包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研
究前景。-Extensively studied in previous work on the basis of the figures in this art
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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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人脸表情识别中的2DLDA方法，特定人识别。-Facial Expression Recognition in 2DLDA method of identifying a specific person.
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人脸表情识别中的2DPCA方法，非特定人识别。-Facial Expression Recognition in 2DPCA method, non-specific Recognition.
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Facial Expression Recognition using Mahalanobis distance and correlation
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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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Face detection with facial Expression Analyze, Feature points stored in excel sheet,GUI module also used.
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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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facial expression in matlab
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多篇关于动态人脸表情识别和光流技术在表情识别上的应用的论文-Many articles on the dynamics of facial expression recognition and expression recognition optical flow technology in the application papers
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