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人脸识别的源代码 经典的pca和lda人脸识别
实现的成功率有待改进 好的可以达到70 -Face recognition source code for pca and lda classic face recognition could be improved to achieve a good success rate can reach 70
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本方法采用pca进行特征提取,knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
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The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
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利用MATLAB进行人脸识别。利用人脸的特征进行定位,识别等。效果很好-Using MATLAB for face recognition. Features of human face location, identification, and so on. Good results. . .
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使用传统的PCA主成分法,进行人脸的识别与匹配,源程序为matlab版,本程序改写,已经将内置函数进行了替换-Use the traditional method of PCA components, face recognition and matching, source code for matlab version, the program rewritten, and has built-in functions to replace
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通过预建的人脸图像库,实现人脸识别的matlab程序。-By pre-built library of face images, face recognition matlab program.
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用于特征脸识别的MATLAB经典代码,本科毕业设计所做,调试成功,运行结果理想-Face Recognition MATLAB for feature classic code, doing graduate design, debugging success, the results are satisfactory
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基于matlab的简单人脸识别,这里通过对人脸图像打上网格,对区域块图像做二值分析,通过像素比例来做处理。进而得到人脸区域。-A simple matlab based face recognition, the face image of a grid, the two value image through the analysis of the regional block, the proportion of pixels to process. To get the face reg
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一个简单的利用MATLAB进行人脸识别并检验其正确率的小程序(附有照片)-an example to face recognition
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实现了人脸识别LDA, HLDA, BHLD三种算法MATLAB的仿真-It include LDA, HLDA and BHLD algorithms for face recognition.
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人脸识别,用于MATLAB识别人脸,用于自动识别人脸的系统。-Face recognition, face recognition for MATLAB for the use of automatic face recognition system
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