Description: 两个文件,分别实现了基于2DPCA的人脸识别及重建算法-two papers, based on the realization 2DPCA and reconstruction of the face recognition algorithm Platform: |
Size: 2048 |
Author:龚勋 |
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Description: 实现2DLDA和LDA对人脸识别的比较,有论文和相应的程序,matlab编写-A matlab code of 2DLDA and LDA for face recognition Platform: |
Size: 288768 |
Author:xiaoxiran |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应,支持向量机
(SVM)具有结构风险最小化的特点,将两者结合起来用于人脸识别。首先,利用小波变换获取人脸图像的低频分量,忽
略高频分量:然后,用2DLDA算法提取人脸图像低频分量的线性鉴别特征,用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA),and
Support Vector Machine(SVM)has the characteristic of structural risk minimization.In this paper,two methods were
combined and used for face recognition.Firstly,the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT).The high—frequency components were ignored,while the low—frequency components
can be obtained.Then.the liner discriminant features were extracted by 2DLDA,and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition. Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition. Platform: |
Size: 236544 |
Author:费富里 |
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Description: 这是一个基于人脸识别的双边2DLDA程序,其中每人随机选9个做训练,1个做测试,作20次后平均-This is a bilateral 2DLDA procedures based on face recognition, in which each of 9 randomly selected for training, one to do testing for 20 times the average Platform: |
Size: 2809856 |
Author:张 |
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Description: 这是一个基于人脸识别的双边2DLDA代码,我看到一般写的2DLDA都是单边的,所以上传一个双边的,大家参考一下-This is a face recognition based on bilateral 2DLDA code, I see a general write 2DLDA are unilateral, so upload a bilateral, your reference Platform: |
Size: 2811904 |
Author:张 |
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Description: 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. Platform: |
Size: 3731456 |
Author:xiaocai |
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Description: This paper proposes an efficient face representation and recognition method, which
combines the both information between rows and those between columns from two-directional 2DPCA on fusion face image and the optimal discriminative information from column-directional 2DLDA. Platform: |
Size: 138240 |
Author:Hung Truong |
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