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一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
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两篇很好的人脸识别论文，基于不同的方法实现，《基于嵌入式隐马尔可夫模型（EHMM）的人脸表情识别》《 基于DSP的人脸识别系统研究》-2 Face Recognition good thesis, based on different methods of implementation, " Based on Embedded Hidden Markov Model (EHMM) Facial Expression Recognition" " DSP-based Fa
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擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识
别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 -Good man: Face to face identification for the experimental background, the analysis of facial expressions in the
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Face and Facial Expression Recognition.pdf
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三维人脸识别的经典文章，是三维人脸表情识别论文争相引用的经典文章-Using Biologically Inspired Features for Face Processing
In this paper, we show that a new set of visual
features, derived from a feed-forward model of the primate
visual object recognition pathway proposed by R
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三维人脸识别的经典文章，是三维人脸表情识别引用极多的经典文章-The Painful Face – Pain Expression Recognition Using Active Appearance Models
Active Appearance Models, Support Vector Machines, Pain,
Facial expression, Automatic facial image analysis
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三维人脸识别的经典文章，也是三维人脸表情识别引用极多的文章，被模式识别杂志收录-Texture and shape information fusion for facial expression and facial action
unit recognition
Keywords: Facial expression recognition Facial Action Unit recognition Discriminant Non-Negative Matrix Factor
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人脸表情识别算法研究。 人脸表情识别算法研究。-Facial expression recognition algorithm
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In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. With the weights of the trained neural networks there are created kernel window
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Face expression recognition document which descibes a new method for recognition
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表述了人脸识别的研究的方向，以及实现系统设计中所使用到的技术和算法。-Expression recognition research direction, as well as the techniques and algorithms used in the system design.
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Face expression recognition tutorial
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document for face expression recognition
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一组表情库，对于人脸识别的研究很有用，很难得到了的数据，提供使用。-A group of expression libraries are useful for the study of face recognition, it is difficult to get the data, providing use.
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为了实现复杂环境下的人脸特征有效表达，提出一种改进的梯度方向直方图（ＨＯＧ）人脸识别方法．首先以人脸图像网格作为采样窗口并在其上提取 ＨＯＧ特征；然后将所有网格 ＨＯＧ特征向量进行组合，实现整个人脸特
征表达；最后采用最近邻分类器进行识别．另外，比较了该方法与Ｇａｂｏｒ小波和局部二值模式（ＬＢＰ）２种著名的人脸
局部特征表示方法的优劣．实验结果表明，在调优的 ＨＯＧ参数下，在具有光照和时间环境等复杂变化的ＦＥＲＥＴ人
脸库中，较少维数的 ＨＯＧ特征比ＬＢＰ特征有更好的表现，而且 ＨＯ
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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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Selection and Efficient Use of Local Features for Face and Facial Expression Recognition in
a Cortical Architecture.
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