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人脸识别的matlab代码,本征脸( eigenface )方法是子空间人脸识别方法的典型代表。该方法基于一种部分的K-L 变换,或者称为主成分分析( PCA )
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Matlab环境下,实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。-Face recognition via PCA and SVM method
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pca eigenface application
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matlab code for PCA or eigenface face recognition.
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This is a Simple Code for Face Recognition using PCA + LDA Approach. I hve write this code for ORL Database containing 400 images of 40 persons. I have used Eigenface Algorithm for Face Recognition. Its a Very Simple Code you can easily understand it
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基于PCA的人脸表情识别,可以辨别高兴,愤怒和厌恶三种表情。
-In this project, Eigenfaces are used to classify facial expression. It has been assumed that, facial expression can be classified into some discreet classes (like anger, happiness, disgust or sadness) whereas:
1. A
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该压缩包包含了基于主成分分析的人脸识别代码,以及matlab的数据库。并有详细的注释。-This zip file contain the matlab code of eigenface. Further, we also detail the meaning of some important code.
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用pca实现的matlab人脸表情识别程序-Pca matlab achieved with facial expression recognition program
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这是一个主成分分析算法的MATLAB程序,适合初学者学习。-A sample scr ipt, which shows the usage of functions, included in
PCA-based face recognition system (Eigenface method)
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基于PCA的人脸识别matlab代码。建立特征脸空间,而后将预存人脸图像和待识别图像投影到特征脸空间上,可以得到较高的识别率-Based on PCA face recognition matlab code. The eigenface space is established, and then the stored face image and the image to be recognized are projected onto the feature face space, and
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