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PCA 人脸检测识别 内容:人脸特征值提取 人脸模型重建,识别人脸-PCA face detection and recognition: facial feature value extraction, facial model reconstruction, recognize faces
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一个很简单的用pca来实现人脸识别的程序,内附pca算法的详细介绍和ORL标准人脸库,对初学者有很好地帮助!-A very simple pca face recognition procedures, enclosing the PCA algorithm described in detail and ORL standard face database, help for beginners!
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pca人脸识别 基于代数统计的方法是使用统计学观点提取基向量,之后将人脸向量投影到基向量上,得到的投影值即为不同的人脸图像特征,这种方法利于操作,比较灵活。本次设计采用PCA方法对人脸进行降维,提取特征。
-pca face recognition based on the statistical method Generation is extracted base vectors using a statistical point of view, and then the vector
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基于PCA的人脸识别 适用于样本文件数量较小,用opencv实现-PCA-based face recognition for smaller number of sample documents, using opencv
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基于PCA的人脸识别算法,包含了一个小型的数据库,可以直接运行,识别率相当高,可以作为教学演示以及其他研究-PCA-based face recognition algorithm, contains a small database, can be directly run, the recognition rate is very high, can serve as a teaching demonstration and other research
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基于PCA的人脸识别,介绍了相关理论,并附有详细的代码-PCA-based face recognition, introduced the related theory, together with a detailed code
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基于PCA和FLD的人脸识别的线性分类器-Face recognition based on PCA and FLD linear classifier
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基于BP网人脸识别, 使用PCA方法对人脸特征进行抽取-Face Recognition Based on BP Network
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Face Recognition Based on PCA on Wavelet Subband
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基于Matlab的PCA人脸识别算法.m本人毕业设计时用到的.-Matlab based on the PCA face recognition algorithm. M I graduated from the design used.
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运用PCA和LDA进行人脸识别的MATLAB代码
-do the face recognition use the principal component analysis and linear discriminant analysis
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face recognition in various illumination
using utp mathod. used in PCA algorithm
select image whivh you want to recognize and it will give you 3 result. as per the selection of image
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用PCA对图像进行识别,提取人脸特征,可以直接运行,适合初学者-Using PCA method of face recognition, extraction of facial feature, can be directly run, suitable for beginners
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使用LBP和主成分分析法,进行人脸识别的程序,可以获得不错的效果。-The use of LBP and principal component analysis (pca) for face recognition program, can obtain good effect.
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face recognition using pca
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PCA LDA 人脸识别 特征脸 类间方差 人脸数据库-etween PCA LDA face recognition feature class variance face database
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Application for face recognition
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主成分分析(PCA)方法是人脸识别技术中常用的一种一维特征抽取方法。基于PCA的人脸识别。-Principal component analysis (PCA) method is commonly used in face recognition technology as a one-dimensional feature extraction methods. A face recognition algorithm based on PCA .
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pca 人脸识别程序,识别率88 ,还不错的资料,学习。-pca face recognition rate of 88 , but also good information to learn.
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Face recognition using pca
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