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简要叙述了人脸识别方法,用PCA 算法实现了人脸的识别,并对实验结果进行分析-A brief descr iption of face recognition methods, PCA algorithm for face recognition, and analysis of experimental results
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人脸识别中很重要的PCA算法，可作为初学者的参考算法,很有用-A very important PCA face recognition algorithm, can be used as a reference algorithm for beginners and useful
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本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方
法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm se
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pca算法实现人脸识别，包括数据图片，特征提取算法，最近邻分类器算法-pca algorithm for face recognition, including data pictures, feature extraction algorithm, nearest neighbor classifier algorithms, etc.
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最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
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openCV-C++代码，用PCA算法进行人脸主成分提取，并且用kNN算法进行实时表情识别。程序可以自己建立数据库并且进行识别，非常好用！附课程的作业报告。-openCV-C++ code, using PCA algorithm for face principal component extraction and real-time facial expression recognition algorithm with kNN. Program can create their own
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openCV编写的PCA算法人脸识别程序源代码，功能强大，仅供参考-OpenCV PCA algorithm written in face recognition program source code, the powerful, for reference only
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生物特征识别变得越来越重要，程序为基于matlab的PCA人脸识别算法-Biometrics is becoming more and more important, the program for the PCA face recognition algorithm based on matlab
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Partially achieved tracking speed iterative relaxation algorithm, The IMC - PID is using the internal model control principle for PID parameters is calculated, Gabor wavelet transform and PCA face recognition code.
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非常经典的特征提取算法，经常用来做降维方法，但是也可以直接用来做特征提取，很适合图像处理入门，在人脸识别也经常用到(Very classic feature extraction algorithm, often used to do dimensionality reduction methods, but can also be used directly to do feature extraction, it is suitable for image processing, in fa
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各种算法用于人脸识别，各个算法的识别率都不错，有lda,pca等算法(Various algorithms are used for face recognition, and the recognition rate of each algorithm is good. There are algorithms such as LDA, PCA and so on)
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使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algor
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