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Search - face recognition using SVM in matlab
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Search - face recognition using SVM in matlab - List
[
Graph Recognize
]
svm
DL : 0
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
Update
: 2025-02-19
Size
: 349kb
Publisher
:
杜鲁燕
[
Graph Recognize
]
Yale_PCASVM
DL : 0
在Yale 人脸库上运用PCA+SVM的方法实现了人脸检测,并统计识别率-In the Yale face database using PCA SVM method achieved a face detection and recognition rate statistics
Update
: 2025-02-19
Size
: 5.15mb
Publisher
:
舟子还
[
matlab
]
CODE
DL : 0
1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序是下载的一个通用的虹膜识别程序,可以运行 5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱 6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序,代码质量很高,提供了matlab接口 7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配,代码质量高 8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition
Update
: 2025-02-19
Size
: 6.6mb
Publisher
:
张数
[
matlab
]
FaceRecognition-master
DL : 0
Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear Discriminant Analysis Support Vector Machines (SVM) The code was written in Matlab, and it requires the user to install LIBSVM. Three face s are included to test the effectiveness of the algorithm in cases where the faces have variation in pose and illumination.
Update
: 2025-02-19
Size
: 9.2mb
Publisher
:
saisai
[
matlab
]
All-Files
DL : 0
用MATLAB实现基于主成分分析(PCA)和支持向量机(SVM)的人脸识别系统,打开运行FR_GUI函数即可,我放在E盘中的,注意一下路径,当前识别率一般,也欢迎交流指正1127851044@qq.com,谢谢。-Using MATLAB analysis (PCA) based on principal component analysis and support vector machine (SVM) face recognition system to open the run FR_GUI function, I put E disk, note the path, the current recognition rate in general, also welcomed the exchange correction 1127851044@qq.com, thank you.
Update
: 2025-02-19
Size
: 19.9mb
Publisher
:
李猛
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