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用2DPCA提取人脸特征,然后用支持向量机分类识别。效果不错。-With 2 DPCA face feature extraction, and then by support vector machines (SVM) classification and recognition. The result is right.
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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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2下载:
利用PCA算法进行特征提取和数据降维,再用SVM算法进行人脸识别的程序,里面有人脸数据库!-Use PCA algorithm for feature extraction and data reduction, and then SVM algorithm recognition program, which was face !
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MULTICLASS SVM FOR FACE EXPRESSION RECOGNITION
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人脸表情识别matlab程序PCA+SVM算法,SVM分类-orL人脸数据库有数据有图片-Facial expression recognition matlab program PCA+SVM algorithm, SVM classification-orL face
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对jaffe人脸库进行识别测试的主程序,将jaffe人脸库分为训练集和测试集两部分,首先对图片进行LBP+LPQ特征提取,然后svm分类识别,统计识别率-Jaffe face for the identification of the main test will jaffe face is divided into a training set and a test set of two parts, the first of LBP+LPQ image feature extractio
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支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
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支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
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支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
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采用surf特征点, svm线性分类器 实现的人脸活体检测源码(face_antispoofing: this code takes surf feature to detect spoofing face in recognition.)
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