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matlab source code eigen face for face recognition,can detect pose and expression,matlab source code eigen face for face recognition,can detect pose and expression
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Genetic Algorithm and Neural Network for
Face Emotion Recognition. A document is suitable for people who researching about facial expression Identification
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基于高波滤波的特征提取技术，从而实现人脸识别和表情识别的目的-Based on high-wave filter feature extraction techniques, in order to achieve the purpose of face recognition and expression recognition
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One of Biometrics fields is face recognition & face expression recognition ...
1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Tr
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高独特性特征的选择以及合适匹配策略的选用是人脸识别技术的关键。讨论了基于仿射不变的几何特
征SIFT算子进行人脸识别的方法。SIFT算子的计算复杂度较高，并且不同的人脸表情和图像模糊会加大特征匹
配的难度。为克服上述缺点，提出了一种新的算法，将选择6个人脸上感兴趣子区域进行描述，并根据各自的独特
性赋予不同的权值，最后在匹配过程中使用相似度的平方来减小偏差数据造成的影响。实验结果表明，该方法能
有效减轻表情变化对于身份识别率急剧下降的影响，并可显著减少计算复杂度和特征匹配时间。-
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This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-four percent
-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguis
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基于稀疏表达的包含测试和训练人脸的数据库的鲁棒性人脸识别-Sparse expression includes testing and training human face recognition database robustness
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this paper gives a brief discr iption of different methodology for face detection and facial expresssion recognition.for face detection Exhaustive search,Branch and Bound,Viola-Jones methods can be used. for expression recognition gabor filter, discr
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这个是LBP人脸算法，对学习者有很好的帮助，关于人脸表情识别，这里是基于ORL人脸库。-This is the human face LBP algorithm, the learners have good help, on facial expression recognition, here is based on the ORL database.
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We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression
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这个是面部表情自动识别的源代码。它是基于Viola和Jones的面部检测算法和Gabor面部特征点的提取，然后使用训练过的神经网络来识别人脸表情。-This is the automatic recognition of facial expression source code. It is Viola and Jones face detection algorithms and Gabor facial feature point extraction, and then use the
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MULTICLASS SVM FOR FACE EXPRESSION RECOGNITION
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