搜索资源列表
FaceRec
- 最新SVM和PCA的人脸识别系统,详细地给出了用SVM解决问题的一般框架-Latest SVD and PCA Face Recognition System
LBPpPCAp2CKPCAp2BSVM
- 人脸识别系统采用了LBP PCA 2CKPCA 2BSVM算法实现的,效率高。-Face Recognition System using LBP PCA 2B KPCA 2B SVM algorithm, and high efficiency.
FaceRec
- 这是基于pca与svm的人脸识别的GUI系统,自带ORL人脸库,亲测可以运行。-This is a GUI-based pca face recognition system with the svm, comes ORL , the pro-test can be run.
pca_svm
- PCA+svm算法进行人脸识别,识别率在百分之80~90- Face recognition algorithm Pca+ support vector machine Recognition rate of about ninety percent, interested friends can be used as a reference
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.
face_recognition
- Face recognition with SVM
facedetect-test
- 基于hog特征与支持向量机的方式,使用opencv自带的haar特征分类器,检测人脸-Adapt to hog feature and support vector machine (SVM) method, based on positive and negative samples opencv training face,
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
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.
JointFacedetection20160630
- 联合adaboost和SVM的人脸检测 基于opencv库 人脸特征点检测 sift特征描述-face detection
proj4
- 使用滑动窗的人脸检测,滑动窗口能够独立地对图片块进行分类,以确定是否属于被检测目标。内容如下: 1)载入正样本训练集(人脸),并将其转化为HoG特征 2)载入负样本训练集(没有人脸的任意场景),也将其转化为HoG特征 3)使用SVM,对分类器进行训练,训练集包括正训练集和负训练集 4)使用训练好的分类器,在不同的尺度上,对测试集进行分类 -Face detection with a sliding window.
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
FaceRec
- 人脸表情识别matlab程序PCA+SVM算法,SVM分类-orL人脸数据库有数据有图片-Facial expression recognition matlab program PCA+SVM algorithm, SVM classification-orL face
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
code
- Face Detection using DWT-SVM method. Detect face parts using Viola-jones method. We used two s namely, ORL and JAFFEE.
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.