搜索资源列表
FaceRecEvaluator
- 人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等-Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA
EE4208_FaceRecog_ZhaoJian_v1
- The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/pro
train
- 该函数的内容包括读入人脸数据、PCA降维，数据规格化以及训练多类SVM等功能。-This function covers the face read data, PCA dimensionality reduction, data normalization and multi-class SVM training and other functions.
face-recognition_fr
- la reconnaissance du visage est une technologie biométrique en vogue, elle est tré sutilisé dans les applications de contrô le d accées. dans la littérature , on trouve plusieurs méthodes globales, locales et hybrides de reconnaisance de visages.
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- 本程序实现了用pca,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with pca, SVM realize the recognition face expression, very accurate results, has the very high recognition result
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- 本程序实现了用pca以及kpca,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with pca and kpca, SVM realize the recognition face expression, very accurate results, has the very high recognition result
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- 本程序实现了用pca以及贝叶斯,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with pca and the bayesian, SVM realize the recognition face expression, very accurate results, has the very high recognition result
PCAPSVMPORL
- 对于人脸数据库ORL，先用PCA进行特征提取，然后用SVM进行分类识别。里面有ORL数据库。-The ORL face database, first using PCA feature extraction using SVM for classification. There ORL database.
FaceRec_Final
- 5-fold cross valication for Face recognition using PCA, SVM and KNN.
FaceRec
- 人脸识别系统 PCA降维， SVM 分类， 40*10人脸数据库 对机器视觉 智能识别有帮助 -face recognition
PCA_SVM
- 采用经典的PCA对人脸图像进行特征提取，用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
new_pca_svm
- 基于PCA和SVM的人脸识别系统主程序 -Based on PCA and SVM for face recognition system main
face-recognition-system
- 基于PCA和SVM的人脸识别系统，该系统为Matlab源代码编程，利用PCA（主成分分析）和SVM（支持向量机）方法进行训练、识别和测试，人脸识别率为91 。-Based on the PCA and SVM of the face recognition system
FaceRec_facerecognition
- 基于SVM和PCA的人脸识别算法，有GUI界面，程序运行良好。-Based on SVM and PCA face recognition algorithm, GUI interface, the program works well.
PCA-SVM
- 基于PCA和SVM的人脸识别程序，matlab， ORL库-face recognition code Based on PCA and SVM , matlab， ORL face library
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
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
- 本程序使用MATLAAB R2014a 编写，基于PCA_SVM的人脸识别程序。程序包括主成份分析、SVM核函数，并附带了人脸库，使之能够直接调用人脸库图像进行人脸识别-The program uses MATLAAB R2014a written procedure based on recognition of PCA_SVM. Program includes principal component analysis, SVM kernel function, and comes face
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.
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