搜索资源列表
PCA_ORL
- Matlab环境下，实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。-Face recognition via PCA and SVM method
project
- Svm based face detector code
KPCA
- 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 reco
svm
- this code implements a svm face recognition
fdsvm10
- face detection using SVM on Matlab
CODE
- 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
gaborsvm1
- 先用gabor 小波滤波器,做特征提取，然后用支持向量机（SVM）做分类，来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM）for classification.matlab 2010 required.
ORA
- face detected in matlab SVM algorithm
svm-base-fr
- face detection + SVM in matlab
matlab-face-detection
- pca+svm 与pca +adaboost 人脸检测，里面包含有程序的详细说明-pca+svm, pca+adaboost people face detection, which contains a detailed descr iption of the program
svm.zip
- 基于支持向量机的人脸年龄估计matlab仿真。,Face Age estimated based on support vector machine matlab simulation.
chapter13
- matlab实现PCA和SVM人脸识别 主成分分析 和 支持向量机-the matlab realize PCA and SVM face recognition
face
- Matlab PCA+SVM人脸识别,通过PCA和SVM算法达到人脸识别的功能。-Matlab PCA+SVM，To identify people s face.
fdsvm11
- matlab code for Face Detection using Support Vector Machine (SVM)
FaceRecognition-master
- 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
svm
- 利用matlab实现svm函数包的调用，在人脸数据库yale上进行人脸识别-using matlab to apply function svm to achive scan face on the data of yale
All-Files
- 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_G
基于PCA和SVM的人脸识别系统
- 先通过图像处理提取人脸的各个特征，然后对人脸通过PCA进行降维，然后通过SVM进行人脸识别(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)