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人脸表情识别代码，演示了识别过程中每个步骤，通过肤色变化提取人脸区域，寻找最大联通区域，人脸区域二值化，左眼、右眼嘴唇分割和边缘提前，最后通过三个特征进行表情识别。包含测试图片。-Facial expression recognition code demonstrates each step in the identification process, by the color change of extract facial area, looking for maximum Unicom
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FACS表情图释，包括肌肉图解和各种表情的诠释，有助于人脸表情识别研究学习-FACS expression emoticons, including muscle illustrations and expressive interpretation, contribute to the study of facial expression recognition learning
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人脸表情数据库，共有7类表情，每类8张，适合做人脸表情识别用-Facial expression database, a total of 7 class expression, 8 per class, suitable for a man with facial expression recognition
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FACIAL EXPRESSION RECOGNITION
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FACIAL EXPRESSION RECOGNITION USING PERCEPTUAL MODELS
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结合Gabor特征和adaboost的人脸表情识别方法-Gabor features and adaboost combination of facial expression recognition method
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人脸表情识别matlab程序LBP+LPQ算法融合，SVM分类-facial expression recognition algorithm
fusion of LBP and LPQ，clssify by OAA SVM
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本代码为机器学习中表情识别算法的实现运用了神经网络方法训练学习模型从而达到表情识别的目的-The code for the machine learning facial expression recognition algorithm, the use of neural networks, the training model of learning so as to achieve the purpose of expression recognition
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人脸表情识别，基于opencv开发，good-Facial expression recognition based on opencv developer, good
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Facial Expression Recognition from Image Sequences
Using Optimized Feature Selection
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这是人脸表情识别中的预处理。主要有尺度归一化和灰度归一化，是表情识别中重要的部分-This is a human facial expression recognition preprocessing. There are gray-scale normalization and normalization, is an important part of the expression recognition
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基于视频的人脸表情识别方法，提供在多帧图像中对人脸表情进行识别。-Video-based facial expression recognition, providing multi-frame image for facial expression recognition.
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基于稀疏学习理论对人脸表情分析中灰度、局部二值模式、C}abor等不同面部特征的稀疏表达问题进行了研究。首先，对稀疏表达、K-S V D以及D-KSVD等稀疏学习算法进行了分析 接着，在JAFFF人脸表情数据库上对不同算法进行了表情识别实验。-Facial Expression Recognition Based on Sparse Leaning
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this paper presents database available for facial expression recognition.database available are very limited.this paper give discr iption of what are the problems while deveoping the database. it describes MMI database
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this paper has used two algorithms i.e local binary pattern and Log gabor filter for facial expression recognition.SVM and MDC are used as a classifier.Log gabor filter showed better performance than Local binary patter
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这是一个人脸表情识别的matlab源代码，附有著名的日本女性表情库，而且准确率非常高-This is a facial expression recognition matlab source code, with the famous Japanese female facial expression database, and the accuracy rate is very high
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这是一个人脸表情识别的matlab程序，内附运行说明与测试数据库-This is a facial expression recognition matlab program, containing operating instructions and test database
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opencv的人脸表情识别的预处理,只是预处理 没有检测-Pretreatment opencv Facial Expression Recognition
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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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CVPR 2014年的论文：人脸表情识别。基于adaboost和深度学习网络-CVPR 2014 years Papers: facial expression recognition. Based on depth learning networks and adaboost
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