Description: 这是完整的一套人脸表情识别,从样本训练到目标的识别.采用PCA来提取特征-This is the complete set of Facial Expression Recognition from the sample to the target identification training. Using PCA to extract the characteristics of Platform: |
Size: 261120 |
Author:史金玉 |
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Description: 指纹识别技术是基于生物识别的认证技术，由于每个人的指纹具有唯一性，
终身不变，因此指纹识别是代替传统身份识别手段的最安全、最可靠、最方便的
方法之一。而指纹的预处理的好坏是指纹识别能否正确识别的关键。-Fingerprint recognition technology is based on biometric authentication technology, as each person Platform: |
Size: 2663424 |
Author:张杰 |
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Description: 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 identification process, a single smoked separate the impact of the recognition rate, thus further summarized in the expression recognition of how to more effectively select the independent sub-space in order to achieve the recognition rate does not affect the premise, for constituting a separate sub-reducing space required for the number of independent component. Independent component analysis expression recognition independent subspace Platform: |
Size: 272384 |
Author:金振东 |
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Description: 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 article on the movement detection, tracking and recognition are reviewed. To enable a clear understanding of classification, motion analysis of figures in this article will be divided into two categories: human motion analysis, analysis of human faces. Analysis of human motion including the relatively large body movements, such as gesture recognition, gait analysis, motion analysis of the human body Facial analysis includes face detection and recognition, facial expression analysis. In the study described in detail the status quo at home and abroad, the proposed study of the problems and prospects. Platform: |
Size: 357376 |
Author:martin |
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Description: 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 procedure reference Gabor feature classification using enhanced FLD model facial recognition Platform: |
Size: 176128 |
Author:lily |
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Description: 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. Platform: |
Size: 428032 |
Author:rabbit3306 |
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Description: 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 reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important" aspects of the data. The extracted feature vectors in the reduced space are used to train the supervised Neural Network classifier. This approach results extremely powerful because it does not require the detection of any reference point or node grid. The proposed method is fast and can be used for real-time applications. Platform: |
Size: 21504 |
Author:mhm |
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Description: 为了更有效地提取图像的局部特征，提出了一种基于2维偏最小二乘法(two—dimensional partial least
square，2DPLS)的图像局部特征提取方法，并将其应用于面部表情识别中。该方法首先利用局部二元模式(1ocal
binary pattern，LBP)算子提取一幅图像中所有子块的纹理特征，并将其组合成局部纹理特征矩阵。由于样本图像
被转化为局部纹理特征矩阵，因此可将传统PLS方法推广为2DPLS方法，用来提取其中的判别信息。2DPLS方法
通过对类成员关系矩阵的构造进行相应的修改，使其适应样本的矩阵形式，并能体现出人脸局部信息重要性的差
异。同时，对于类成员关系协方差矩阵的奇异性问题，也推导出了其广义逆的解析解。基于JAFFE人脸表情库的
实验结果表明，该方法不但可以有效地提取图像局部特征，并能取得良好的表情识别效果。-To better the image of the local feature extraction, a partial least squares method based on 2D (two-dimensional partial least
square, 2DPLS) image local feature extraction method, and applied to facial expression recognition. In this method, use of local binary pattern (1ocal
binary pattern, LBP) operator extracts an image texture features of all sub-blocks, and their combination into the local texture feature matrix. As the sample image
Be translated into the local texture feature matrix, so the traditional PLS method can be generalized to 2DPLS method used to extract the identification information. 2DPLS method
Through the class membership matrix in the corresponding modifications to adapt the sample matrix, and can reflect the importance of face poor local information
Different. Meanwhile, members of the class covariance matrix of the singular relations issues, also derived the generalized inverse of the analytical solution. Based on the JAFFE facial expression database
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Size: 315392 |
Author:MJ |
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Description: 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. Absence of any expression is the "Neutral" expression
2. Intensity of a particular expression can be identified by the level of its "dissimilarity" from the Neutral expression Platform: |
Size: 5726208 |
Author:马瑞欣 |
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Description: 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 Platform: |
Size: 8272896 |
Author:秦刚 |
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Search - facial expression recognition in matlab