搜索资源列表
PCALDA.rar
- 这是自己毕业设计做的PCA和LDA的结合，训练和识别过程都有，用的是ORL库里的图像，具有较高的识别率！,This is the pca+lda,and it has the good recognition!
2DDPCA
- 人脸识别用双向2DPCA方法写得人脸识别代码，基于ORL的，自己写的，可运行，网上没有，分享给大家学习。-Face recognition using two-way code is written 2DPCA method, based on ORL, and his writing, can run, on-line did not, share with them to learn.
flda
- fisher线性鉴别分析的人脸识别，在ORL库上实验，可在其他库上运行-fisher linear discriminant analysis for face recognition, in the ORL database on the test can be run on other database
eigenface
- eigenface 的matlab源代码和所需的orl图库，直接可运行-The matlab source code and eigenface required orl gallery, directly run
PCA-code
- 基于主成分分析方法的人脸重构，使用ORL人脸数据库-the face reconstruction based on PCA method
FaceRec
- 基于matlab2008的人脸识别系统，使用了PCA +Adaboost与PCA+SVM分别实现了人脸识别，使用了orl人脸库，给一个人的图片就可以识别此人身份，识别率高达84 -Matlab2008 face recognition system based on use of the PCA + Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database
fisherface
- 本文在Matlab7．5下面实现了fisherface算法，选用的人脸库是ORL，其中有40 人，每人有10幅不同的人脸图像。本文选取了每人9幅作为训练(1幅作为测 试)，图像大小为112x92。-In this paper, the following Matlab7.5 realized fisherface algorithm, selection of face database is ORL, in which 40 people, each person will have
ica_for_image
- 本代码用于人脸识别，可以在ORL、Yale、AR等人脸库上测试使用。-The code for face recognition, can ORL, Yale, AR face database, such as the use of the test.
pca_img_compress.tar
- matlab 用PCA方法对图像进行压缩、还原-PCA method using matlab image compression, restore
facedata
- 这是读好的ORL 和YALE人脸库数据， 用LODA加载后， 变量train 代表是训练样本， test 代码是测试样本。-This is a good time ORL and Yale face database data, using Loda loaded, variable train representatives training samples, test code is to test the samples.
PCA
- 这是自己做的毕业设计的PCA，具有很高的识别率，使用的图像是ORL库-This is the pca,and it has the good recognition!
zhijieyouqiyizhixiangliangpipeishibiesuanfa
- 基于奇异值的人脸识别,开发环境为MATABL,图像库最后用ORL-face recognition based on svd
pcaFISHER
- PCA+Fisher人脸识别，已在ORL人脸库上测试，效果不错-face recognition,including PCA and Fisher methods.
FLDA
- 使用Fisher线性鉴别分析（FLDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。-The use of Fisher linear discriminant analysis (FLDA) at Ways on ORL face database for face recognition test. Standard ORL face database contains a total of 40 people, 10 per pe
KFDA
- 此实验使用核Fisher鉴别分析（KFDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。-This experiment the use of nuclear Fisher discriminant analysis (KFDA) method on ORL face database for face recognition test. Standard ORL face database contains a total of 40
20064817924orl_faces_112x92
- ORL人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。 真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 -ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sampl
ORL_database
- orl数据库 在别处找到的 希望对大家有用-orl database found elsewhere hope to be useful
ORL
- 人脸库，一共40个脸，每个脸10张图片，.pgm格式，可以用matlab直接处理-Face database, a total of 40 faces, each face 10 pictures,. Pgm format, you can deal directly with matlab
GuassianPyramid-ORL
- GuassianPyramid-ORL programm
Face_Recognition
- matlab人脸识别官方例程加上ORL开源样本库的照片 还是很不错的 训练起来很舒服(Matlab face recognition official routines plus ORL open source sample library photos are still very good training very comfortable.)