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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.
1
- 基于PCA的人脸识别源代码，使用matlab编程，针对ORL库-PCA-based face recognition source code, the use of matlab programming, for ORL database
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
LDA-based-face-recognition
- 基于LDA的人脸识别技术，从ORL数据库读数据，然后从中取一部分进行训练，一部分进行测试。-This code is LDA base face recognition programme. It reads nots faces from ORL database and the rest (noc-nots) are used as test. LDA_Performance shows the recognition performance.
7941921lda
- MATLAB的LDA人脸识别计算率的程序在ORL库上可以运行的-MATLAB calculation of the rate of the LDA Face Recognition in the program can run on the ORL database of
FaceRecognition
- 这是一个matlab编写的计算人脸识别率的小程序，选用的图像数据库位ORL数据库。-This is a face recognition matlab calculation of the rate of the preparation of small procedures, digital image database selected ORL database.
li9_8
- 人脸图像的预处理程序，对ORL人脸库上的图像进行的预处理-Face image preprocessing procedures on the ORL face database of images of pre-treatment
orl_faces
- orl人脸库，40个人，每人10幅图像。-orl face database, 40 individuals, 10 images per person.
ORLimages
- 人脸识别中经常用到的orl数据库，库大小是每人10幅，共有40人的人脸图像-Face Recognition frequently be used orl databases, database size is 10 per person, a total of 400 face images
nn_face
- nearest neighbor algorithm with orl database-nearest neighbor algorithm with orl database
ANewMethodofFusionofICAandLDAforFaceRecognition.ra
- 特征提取是模式识别研究领域的一个热点.本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法.谊方法中引入了零空间的概念,指出了前人算法中的不足之,并且给出了一个完整的独立成分分析和线性鉴别分析的组合算法.在ORL和Yale人脸数据库上的实验表明了该方法的有效性.-Feature extraction is a hot field of pattern recognition research. In this paper, which is based on independent com
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
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
- ORL人脸图像数据库，做人脸检测和识别的好-ORL face image database, doing the face detection and recognition of good stuff
MLbayesface
- 基于贝叶斯人脸识别技术的matlab人脸识别程序，在ORL库上实现，也可换用别的库进行运算，只需要更改样本数量-Bayesian face recognition technology based on face recognition matlab program, implemented on ORL database can also be used for other library operations, only need to change the number of sample
pca
- 主成分分析（pcA）人脸识别，在ORL库上进行测试，产生矩阵为散步矩阵-Principal component analysis (pcA) recognition, tested on the ORL database, resulting in a walk matrix matrix
lda
- This code is LDA base face recognition programme. It reads nots faces from ORL database a
orl_faces
- ORL人脸库，可以用于人脸检测识别用，在 ORL 人脸库中，有 400 幅分辨率为92*112，具有不同表情、不同姿势、稍许倾斜(不超过20度)、稍许遮掩的图像-ORL face database, face detection and recognition can be used for the ORL face database, there are 400 92* 112 resolution, with different expressions, different posture,
ORL
- 做人脸图像识别的数据库ORL,共有40个人的400幅人脸图像-Human face image recognition database, ORL, a total of 40 individual 400 face images