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使用基于PCA+KNN算法实现的人脸识别,本算法的优点在于使用的是基于2DPCA的方法,计算时间更短,效率更高。-PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.
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首先进行小波变换,在此基础上进行pca特征提取,在进行lda特征提取,用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
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利用小波进行一级特征提取,在此基础上采用2dpca进行二级特征提取,用于人脸识别。-Carried out a wavelet feature extraction, in this based on the use of 2dpca for two feature extraction for face recognition.
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MATLAB FACE RECOGINION,讲述了MATLAB,在人脸识别中的应用,主要基于子空间的PCA方法。-The MATLAB FACE RECOGINION, about MATLAB, in face recognition, PCA method is mainly based on subspace.
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人脸特征提取与识别matlab程序,主要提取了PCA特征、SVM分类和核方法分类等,代码可以直接使用-Face recognition based on PCA features and Kernel methods, which is used in pattern extraction.
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基于PCA主成分分析算法和Yale人脸数据库,采用Matlab语言实现的人脸识别程序,整个程序分为预处理、训练、识别、GUI界面控制等几个模块,注释清晰,通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divide
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