搜索资源列表
fdsvm11
- Gabor与svm的人脸识别程序，能够运行，七个文件 写的不错 很有参考价值 先分类 后识别人脸-Gabor face recognition with svm program to run, seven documents useful reference for writing a good face recognition after the first classification
4
- 本程序实现了用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 face recognition of the SVM realize expression, very accurate results, has the very high recognition result
5
- 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
7
- 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
8
- 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
9
- 本程序实现了用贝叶斯,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 bayesian, SVM realize the recognition face expression, very accurate results, has the very high recognition result
2
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十七-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-seven percent nine percent
3
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十五-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-five percent
4
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十四-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-four percent
5
- This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-four percent -This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguis
6
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十二-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-two percent
7
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十一-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-one percent
8
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety percent
1
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之八十九-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is eighty-nine percent
2
- 本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之八十八-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is eighty-eight percent
renlianshibie
- 进行人脸识别，提取男女性别特征，年龄特征，并且运用了支持向量机的方法进行识别-For face recognition, extraction gender characteristics, age characteristics, and using support vector machine (SVM) method to recognize
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.