Description: 这是MIT人脸库，包括两组，一组人脸库，一组非人脸库，可以用分类器训练，然后用人脸识别程序识别，可以不用购买人脸库了。。。不错的-Face arsenal, including two groups, one group of people to face basement, a group inhuman face, you can use the classifier training, and then use face recognition procedures for identification and can be purchased for the face. . . Good. Platform: |
Size: 4895255 |
Author:陈其星 |
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Description: OPENCV做的一个人脸识别并跟踪的程序.用的自带的分类器.对入门很有帮助.-OPENCV make a face recognition and tracking procedures. With the built-in classifier. Of entry helpful. Platform: |
Size: 86016 |
Author:lyp94 |
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Description: 一个分类器算法，关于人脸识别的分类器算法-A classifier algorithm, the classifier on the face recognition algorithm Platform: |
Size: 153600 |
Author:彭涛 |
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Description: 本代码利用了神明网络作为分类器对复杂情况下的人脸识别进行了一定的改进-The code made use of gods network as classifier of complex circumstances to carry out a certain amount of face recognition to improve Platform: |
Size: 156672 |
Author:ableman |
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Description: （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
3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.-pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati Platform: |
Size: 2048 |
Author:dong |
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Description: 运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier, Platform: |
Size: 1024 |
Author:胡丽娜 |
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Description: 人脸识别时候需要各种特征提取，该文件时人眼睛的 分类器，可直接用于特征提取中-When face recognition requires a variety of feature extraction, human eye when the document classifier, can be directly used for feature extraction Platform: |
Size: 64512 |
Author:蒋鹏 |
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Description: 基于haar特征的adaboost级联分类器的人脸识别应用，可直接运行-Adaboost cascade haar feature based classifier for face recognition applications can be run directly Platform: |
Size: 4583424 |
Author:苏军 |
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Description: 我们使用MATLAB软件实现了人脸识别并统计其识别率。本实验采用PCA（主成分分析）方法，利用K-L变换和奇异值分解原理实现。并分别采用最近邻法分类器得出它们的成功率。-We use face recognition software and the MATLAB Statistics recognition rate. The present study, PCA (principal component analysis) method, using KL transform and singular value decomposition of implementation. The approach of using nearest neighbor classifier obtained their success rate. Platform: |
Size: 1024 |
Author:liyanliang163 |
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Description: 采用Haar分类器进行人脸识别的VC软件，给出源代码了-Haar classifier for face recognition using the VC software, source code is given Platform: |
Size: 82944 |
Author:飞雪 |
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Description: 一些国外人脸识别的测试集，可以用在分类器中。-Some foreign face recognition of the test set, can be used in classifier. Platform: |
Size: 3085312 |
Author:李佩霖 |
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Description: This paper investigates a new face recognition system based on an efficient design of MLP classifier using each SIFT (Scale Invariant Feature Transform) keypoint as feature. Platform: |
Size: 96256 |
Author:tongliu |
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Description: This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale
Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong
robustness to the expression, accessory, pose and illumination
variations. One MLP (Multi Layer Perceptron) based network is
adopted as classifier of SIFT keypoint feature. The proposed
classifier classifies each keypoint into face ID then an ID index histogram counting method is applied as the identification method to recognize face images. Also a bootstrapping method is investigated to select training images during training MLP. The performance of face recognition in some challenging databases is improved efficiently. Platform: |
Size: 122880 |
Author:tongliu |
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Description: My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
-My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
Platform: |
Size: 835584 |
Author:tongliu |
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Description: 结合DCT和BP神经网络进行人脸识别。先利用DCT提取特征，然后利用BP神经网络分类，在ORL人脸库上测试效果不错。-The combination of DCT and BP neural network for face recognition. First DCT Feature Extraction, and then use the BP neural network classifier, a good test results on the ORL face database. Platform: |
Size: 2048 |
Author:尹贺峰 |
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Description: opencv程序，利用opencv自带的分类器，可识别人脸，并进行追踪，开发环境2.4.13-Opencv procedures, the use of opencv comes with the classifier, can identify the face, and tracking, development environment 2.4.13 Platform: |
Size: 10787840 |
Author:孙振知 |
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Description: 通过奇异值分解作为特征处理，训练人脸识别分类器，附带测试图片(Singular value decomposition (SVD) is used as feature processing to train the face recognition classifier) Platform: |
Size: 32424960 |
Author:五秒咖喱棒
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Description: 本程序为人脸识别系统，首先建立人脸库模块，然后对人脸库进行信息编辑以及训练人脸识别分类器，最后为人脸识别模块。采用的visual studio + opencv实现，界面清晰美观，实验效果较好。(The program for the face recognition system, the first establishment of the face library module, and then face the library for information editing and training face recognition classifier, and finally for the face recognition module. Using visual studio + opencv implementation, the interface clear and beautiful, the experimental results are better.) Platform: |
Size: 97562624 |
Author:王老头
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Description: Face recognition system using k-nearest neighbour and support vector machine as classifier Platform: |
Size: 817152 |
Author:femco
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Search - face recognition classifier