搜索资源列表
Yale_PCASVM
- 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
langmui
- 相参脉冲串复调制信号,包括最小二乘法、SVM、神经网络、1_k近邻法,人脸识别中的光照处理方法。- Complex modulation coherent pulse train signal, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Face Recognition light treatment method.
LBP-DBN-face-recognition-master
- 人脸识别 matlab 运用lbp特征加入svm进行训练-face recognition
faceRecognition
- 基于SVM和PCA的人脸识别,使用了ORL人脸数据集和libsvm.jar-Face recognition based on SVM and PCA. ORL faces dataset and libsvm.jar are used
FaceRec_SourceCode
- 基于PCA-SVM的人脸识别,平均识别率达83 ,是基于matlab开发的。-PCA-SVM-based face recognition, the average recognition rate of 83 , based on matlab development.
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
SVM
- 这是一个SVM分类器,可以实现对人脸的识别,里面有数据库。用的时候要先添加路径。-This is a SVM classifier, can be achieved on the face recognition, which has a . Use the time to add the path.
gailei_v41
- 人脸识别中的光照处理方法,实现了对10个数字音的识别,包括最小二乘法、SVM、神经网络、1_k近邻法。- Face Recognition light treatment method, To achieve the recognition of 10 digital sound, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
code
- 人脸识别 FA和BP网络的预测 LVQ神经网络的预测——人脸识别 SVM分类与回归 Elman神经网络预测-Face recognition, FA and BP network prediction, LVQ neural network prediction- face recognition, SVM classification and regression, Elman neural network prediction
lielou_v50
- 用于图像处理的独立分量分析,人脸识别中的光照处理方法,包括最小二乘法、SVM、神经网络、1_k近邻法。- Independent component analysis for image processing, Face Recognition light treatment method, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
biaoqing
- 对jaffe人脸库进行识别测试的主程序,将jaffe人脸库分为训练集和测试集两部分,首先对图片进行LBP+LPQ特征提取,然后svm分类识别,统计识别率-Jaffe face for the identification of the main test will jaffe face is divided into a training set and a test set of two parts, the first of LBP+LPQ image feature extractio
gangbun
- 阐述了负荷预测的应用研究,Gabor小波变换与PCA的人脸识别代码,包括最小二乘法、SVM、神经网络、1_k近邻法。- It describes the application of load forecasting, Gabor wavelet transform and PCA face recognition code, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
ORLPPCAPSVM
- ORL标准人脸库,40个人每人10张不同角度不同表情照片。 通过PCA主成分分析提取特征,再用SVM进行分类,达到较好的人脸识别。-Base on the standard facial library ORL,which contend 40 persons ,10 photos per one in different ankle and different emotion. The program use PCA and SVM method to recognize face.
FaceRec
- 人脸识别(PCA+SVM) 文件中包含训练样本,运行后,能进行人脸识别,采用PCA进行降维,利用SVM 进行分类识别-Face recognition(PCA+SVM)
PCAa2DPCA
- 结合主成分分析和支持向量机的人脸识别程序,非常好可用-Combine PCA and SVM face recognition
FacialExpressionClassification
- 1. 使用matlab自带的人脸识别工具(Viola-Jones算法)找出人脸的位置,并裁剪出人脸区域。 2. 使用Gabor滤波器识别出人脸的局部特征及纹理。 3. 训练一个SVM进行表情分类。 4. 交叉验证得到表情分类正确率为83.3 。 操作说明和系统描述请见ReadMe.-1. Using matlab with face detection tool (Viola-Jones algorithm) to find the location of a human
code
- 基于PCA加上SVM的人脸识别算法 使用libsvm作为SVM工具箱-Face recognition based on PCA and SVM
daima3
- svm实现对15个人的人脸识别,每个人有11张图片-svm to implement the recognition of faces
基于Gabor+SVM的人脸图像性别识别
- 基于Gabor与支持向量机与opencv的系统
SVM_face_recognition
- 基于python的使用SVM的算法实现人脸的识别程序(Face recognition program based on Python based algorithm using SVM)