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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
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Size: 6293 |
Author: 谢安 |
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Description: pca，mda对ORL数据集上的人脸图像进行分类-pca, mda on ORL data set on the face image classification
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Size: 1024 |
Author: 吴胜 |
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Description: 核化的直接判别分析（KDLDA）代码，MATLAB写的。-nuclear direct discriminant analysis (KDLDA) code, written in MATLAB.
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Size: 748544 |
Author: 申中华 |
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Description: 一种基于离散小波变换和支持向量机的人脸识别新方法，是PDF格式的-based on the discrete wavelet transform and support vector machines Face Recognition new methods are in PDF format
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Size: 309248 |
Author: pylu[t |
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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
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Size: 6144 |
Author: 谢安 |
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Description: 人脸识别程序SVM，matlab的……初次上传多多指教-Face Recognition procedures SVM, matlab ... ... the initial upload of the exhibitions
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Size: 2048 |
Author: rao |
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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．
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Size: 236544 |
Author: 费富里 |
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Description: ORL人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。
真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 -ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sample, correct classification rate statistics. Classification criteria for the nearest neighbor rule. The real image size is 112x92, the corresponding column vector face database matrix accumulation of each column.
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Size: 3500032 |
Author: limei |
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Description: 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and recognition test.
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Size: 1024 |
Author: 李海 |
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Description: 基于matlab2008的人脸识别系统，使用了PCA
+Adaboost与PCA+SVM分别实现了人脸识别，使用了orl人脸库，给一个人的图片就可以识别此人身份，识别率高达84 -Matlab2008 face recognition system based on use of the PCA
+ Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database, to a person s picture on the identity of this person can be identified, the recognition rate as high as 84
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Size: 16052224 |
Author: 周天 |
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Description: svm standard svm which is very easy to deploy
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Size: 140288 |
Author: chengwei |
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Description: 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce the dimensions with pca, and finally multi-category classification svm classification and recognition, including the expansion of the complete orl face database, must be noted that, svm toolbox is to use the libsvm toolbox, configured before running libsvm. Version: libsvm-mat-2 [1] .89-3 [FarutoUltimate3.0]
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Size: 11366400 |
Author: |
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Description: 这是用SVM做的人脸识别Matlab源代码，里面有五部分组成，1.orl人脸数据库，供程序训练、测试用2.osu_svm工具箱用于调用3.my program 主程序，里面有详尽注释4.word分析结果一份5.注意事项说明，欢迎下载-This is the Matlab program for face recogition,welcome to download it!!
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Size: 5200896 |
Author: liubaozhu |
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Description: 对于人脸数据库ORL，先用PCA进行特征提取，然后用SVM进行分类识别。里面有ORL数据库。-The ORL face database, first using PCA feature extraction using SVM for classification. There ORL database.
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Size: 231424 |
Author: rank |
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Description: 基于PCA和SVM的人脸识别系统的实现，实验数据采用ORL人脸库。-Based on the PCA and the SVM face recognition system is realized, the experiment data using ORL face database.
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Size: 7356416 |
Author: 安占福 |
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Description: 提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离
散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等
方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出,
DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速
度。-A face recognition method based on DCT for face feature extraction and support vector machine classification model. Can extract most of the information face recognition using discrete cosine transform and support vector machine as classifier, has unique advantages in dealing with small sample, high dimension and generalization ability, without prior knowledge. As can be seen from the experimental results on the ORL database DCT feature extraction is very effective, and the SVM classification performance better than the nearest neighbor classifier, while increasing the speed of operation of the entire system.
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Size: 354304 |
Author: 罗朝辉 |
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Description: 基于PCA和SVM的人脸识别程序，matlab， ORL库-face recognition code Based on PCA and SVM , matlab， ORL face library
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Size: 4235264 |
Author: liu |
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Description: 编写了用户界面程序实现ocr人脸数据集的识别，使用了svm分类器(A user interface program is developed to realize the recognition of OCR face data set, and the SVM classifier is used)
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Size: 9047040 |
Author: upczhaokai
|
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Description: 用于人脸识别，包含了PCA及SVM算法，数据集采用的ORL数据库(face recognition(PCA+SVM))
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Size: 11085824 |
Author: yihuimin |
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Description: 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
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Size: 3870720 |
Author: 欧阳温度 |
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