Search - face recognition using SVM in matlab

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[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