Description: 先用“gettrainingdata”获取人脸样本库的特征，样本库中每人只有一个样本。
然后用“facerecognition"输入待识别的人脸，可以较准确的得出结果！-first "gettrainingdata" Access to face the sample characteristics, Each sample repository is only a sample. Then "facerecognition" to the importation of face recognition, the more accurate the results! Platform: |
Size: 4096 |
Author:zhangguoqing |
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Description: lle和svm 的人脸识别算法代码，识别率可以打到80以上。-lle and SVM for face recognition algorithm code, the recognition rate can reach 80 or more. Platform: |
Size: 1024 |
Author:郭锋 |
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Description: svm人脸识别检测程序，主要是以orl为人脸图象库-SVM face recognition testing procedures, and is based on human ORL face image database Platform: |
Size: 6144 |
Author:谢安 |
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Description: 用支持向量机实现人脸的识别，虽然效果不是很好，不过也可和大家一起分享一下-Using Support Vector Machines Face Recognition realize that although the effect is not very good, but can also share with everyone Platform: |
Size: 357376 |
Author:杜鲁燕 |
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Description: 讲述svm在人脸识别中的应用的一篇质量上乘的演示ppt-About the SVM in face recognition applications in a high-quality presentation ppt Platform: |
Size: 90112 |
Author:赵大毛 |
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Description: A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition. Platform: |
Size: 3522560 |
Author:dasf |
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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: 用PCA 和 SVM 做的人脸识别程序，与大家分享！-To do with PCA and SVM face recognition program, to share with you! Platform: |
Size: 230400 |
Author:FYAC |
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Description: 含有PCA经典人脸识别方法和PCA+SVM人脸识别方法-Classical Face Recognition with PCA and PCA+ SVM face recognition method Platform: |
Size: 7272448 |
Author:xiaoxiongaa |
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Description: 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface Platform: |
Size: 9036800 |
Author:钟佩 |
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Description: SVM face recognition
程序源代码
s1-s40 --------- 人脸数据库
face.m --------- 人脸识别主程序
load_database.m------载入数据函数
其他-------------LIBSVM工具箱函数
注意：LIBSVM需要手动安装，先安装编译器，再执行make.m-Source code
S1-s40-----face database
Face. M-----face recognition the main program
Load_database. M--- load data function
Other-------LIBSVM toolbox function
Note: LIBSVM need to manually install, install the compiler, then execute make. M
Platform: |
Size: 4026368 |
Author:电子develop |
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Search - svm face recognition