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人脸识别中特征提取matlab源码,LDA,-Face Recognition feature extraction Matlab source, LDA.
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人脸识别源程序,LDA的matlab源码,试试看看吧,效果还好-face recognition program, the LDA Matlab source Try Look here, the better results
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该程序包含四种人脸识别优秀算法,PCA +LDA,BIC,EBGM。-The program contains four outstanding face recognition algorithm, PCA, the PCA LDA, BIC, elastic bunch graph matching.
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基于PCA IDA LDA KPCA的人脸识别]
-IDA LDA KPCA Face Recognition]
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这是一个lda的程序,在别处找到的,觉得还行,想和大家分享分享。识别率确实不错,我实在orcl人脸库上进行的,在其他的人脸库里还未来得及试验,相信也会很不错的。大家多多支持啊。-lda This is a procedure in finding elsewhere, I felt that trip, and would like to share with you to share. Recognition rate is not bad, I really orcl people on t
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基于matlab的PCA人脸识别完成程序,包含特征值与特征向量的提取、训练样本以复制到matlab即可,成功运行,及最后的识别检验-A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition
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利用2DPCA和2DLDA在ORL人脸数据库上做的人脸识别实验,注解详细,适合初学者使用,对理解PCA与LDA有很大的作用。,2DPCA and 2DLDA use in ORL face database for face recognition experiments do, comment in detail, suitable for beginners, on the understanding of PCA and LDA are very useful.
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人脸识别算法matlab代码,可以实现,如PCA,ICA,SVM,LDA等-Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA
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2DPCA用于人脸、步态等图像识别,可先按照行列比例将不规整图像归一化处理,然后进行训练,并且识别,全部中文注释和提示,便于学习和参考。-2DPCA human face, gait, such as image recognition, in accordance with the ranks of the ratio can not structured to deal with the normalized image, and then training, and recognition
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介绍了几中人脸识别的方法,并对其进行了比较,有LDA,PCA等-FACE RECOGNITION
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(压缩包里一共有5个代码)
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维,再用lda进行特征提取,得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m),得到离散化矩阵disdata,存入到imagedisdata.mat
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包括pca和lda两个文件,先用pca降维后进行lda进行分类,用于人脸识别,实验结果很好。-It includes 2 files pca and lda. After the dimensionality reduction of pca, use lda for classification in face recognition. It has a very good experimental results.
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摘要:主成分分析(PCA)的人脸识别算法,以减少的特征向量是涉及到对抽象的特点,改进了主成分分析(一)iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract:In principal component analysis(PCA)algorithms for face recognition,to reduce the influen
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设计了一种基于图像分块的LDA(1inear discriminant an sis)人脸识别方法-A method of LDA for face recognition is presented, based on image segmentation.
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人脸识别技术是计算机模式识别领域非常活跃的研究课题,在法律、商业等领域有
着广泛的应用前景。自动人脸识别系统一般由两个模块组成:定位与检测模块,特征提
取与识别模块。本文对两个子模块进行了详细讨论,通过实验仿真了一个基于静态图像
的人脸识别系统。为提高系统的识别率,本文对定位检测模块和特征提取模块进行了深
入研究。
针对复杂多变人脸检测和定位问题,实现了一种基于对称特征的人脸定位方法。该
算法首先基于肽色特征提取出人脸区域,根据眼睛的颜色和梯度特征在肤色区找到眼睛
可
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基于线性判别的人脸识别,本设计对主成分分析和线性判别两种子空间方法进行了深入研究,包括LDA及其在人脸识别应用的若干问题-Face recognition based on linear discriminant, the design of the principal component analysis and linear discriminant subspace methods are two in-depth study, including the LDA and its Appl
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LDA code for face recognition
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this code for lda algorithm for implementing face recognition
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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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人脸识别代码,用于人脸识别,是基于pca lad 和lpp 的人脸识别代码(pca lda lpp for face recognition)
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