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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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Document showing facial recognition with eigenfaces and fuzzy logic together
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This thesis presents a comprehensive overview of the problem of facial recognition. A survey of available facial detection algorithms as well as implementation and tests of di铿
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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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基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由
于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份
验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征，
它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来
越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科
的研究热点。-Based on wavelet analysis and princ
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Eigenface-based facial recognition
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两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature det
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关于gabor滤波器的人脸表情识别的文献-Gabor filter on Facial Expression Recognition of the literature
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Biometrics researchers report on facial recognition technology
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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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三维人脸识别的经典文章，三维人脸表情引用次数极多的经典论文-Spontaneous Emotional Facial Expression Detection
Index Terms—affective computing, facial expression, one-class classification, emotion recognition
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运用于人脸识别中的特征提取方法：通过稀疏化特征向量（即使一些不重要的特征值为0），来减少运算量-Used in face recognition feature extraction methods: by sparse feature vector (even if some important features of value 0), to reduce the computation
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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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combined pattern search optimization of feature extraction and classification parameters in facial recognition
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Eigenfaces are a set of eigenvectors used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classif
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Abstract-Gesture recognition pertains to recognizing meaning-
ful expressions of motion by a human, involving the hands, arms,
face, head, and/or body. It is of utmost importance in designing
an intelligent and efficient human-computer interfa
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FACIAL EXPRESSION RECOGNITION
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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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