搜索资源列表
ar_dct_kda
- 在AR人脸库上进行DCT变换，使用DCT变换后的图像进行 kernel fisher discriminant analysis,其中kernel 函数可以自己选择-In the AR face database on the DCT transform, using the DCT transformed image kernel fisher discriminant analysis, which can choose the kernel function
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.
ar_dct_lda
- AR人脸库进行DCT变换，然后使用Fisher discriminant analysis 进行特征提取，使用cos分类器进行人脸分类。-AR Face Database for DCT transform, and then use the Fisher discriminant analysis feature extraction, using cos classifier for human face classification.
AR_SKFA
- 在ar人脸库上的sparse kernel feature analysis程序，该程序挨个计算kernel空间鉴别向量，最后组成鉴别向量集进行分类-In the ar face database on the sparse kernel feature analysis program, which identified one by one calculation kernel space vector, the final set of vectors to classify the co
ar_dcv
- 在ar人脸库上使用鉴别公共向量方法（discriminant common vector）方法实现人脸图像鉴别分析-In the ar face database using the identification of public-vector method (discriminant common vector) method of achieving facial image discriminant analysis
ar_dlda
- 在ar人脸库上实现Direct Fisher discriminant analysis,该方法首先对类内散布矩阵对角化，然后对类间散布矩阵对角化，使类间散布矩阵对角化的矩阵即使鉴别向量集-In the ar face database to achieve Direct Fisher discriminant analysis, this method first within-class scatter matrix diagonalization, and then between-cla
Sparse_ar
- sparsity preserving projections (SPP)方法，根据论文《sparsity preserving projections with applications to face recognition》使用AR人脸数据库-sparsity preserving projections (SPP)method, according to the paper "sparsity preserving projections with applications t
AR-peopel-faces-5Train
- LDA的实验在AR人脸库上的实现，5个人脸库-LDA experiments on the AR face database, five individuals face database
ar_PCA
- 基于AR库的PCA人脸识别程序，AR库文件已经编入mat文件，不需要额外下载人脸库-This is a face recognition programme using PCA. It is based on the AR database which is already coded in.
AR
- AR人脸库，常用的人脸识别人脸库，可以运用于很多算法的测试-AR face database face recognition face database, can be applied to a lot of testing of the algorithm
AR_database
- AR人脸库zip的调用格式，可以直接运用到程序中，很实用哦-AR face database zip call format, can be directly applied to the program, very practical
NLPPPLPP
- 其中包括了kpca+LPP,以及kpca+nlpp的人脸识别算法，基于AR人脸数据库，可直接运行，还可以修改LPP的参数已达到最佳效果-The File contains kpca+lpp and kpca+nlpp based on AR face database
LBP(AR)
- 在AR彩色人脸识别数据库上进行的LBP局部二值模式的人脸识别算法，matlab版本的-Color Face Recognition in AR database on local binary patterns of LBP face recognition algorithm, matlab version
AR
- ar人脸数据库，经典的人脸库，用于人脸检测与识别。-ar face database, the classic face database for face detection and recognition.
FERET
- ar人脸数据库，经典的人脸库，用于人脸检测与识别。-ar face database, the classic face database for face detection and recognition.
faceLBP
- 包含一个性别分类的cpp文件，和已经训练好的gender.yml模型，最后计算出样本分类准确率。建议使用AR人脸数据库。使用格式为genderLBP 训练样本.txt 测试样本.txt。因为不用训练模型了，测试样本随便写个行了。测试样本的格式是：路径 1或者0。1表示男性，0表示女性。-Cpp file contains a gender classification, and has trained gender.yml model, and finally calculate the sam
PCAofAR
- 利用PCA对AR人脸数据库进行人脸识别，经典的pca算法，书写规范，简洁易懂。-Face recognition on the AR face database by using PCA, PCA algorithm, classical style, simple and easy to understand.
arRecByEulidDist
- 利用欧氏距离测试ar人脸数据库，该处的数据库经过了PCA降维处理； 训练样本为共计100个人的700幅图像降维数据 仅供参考，和交流之用。 - by using Euclidean distance test of AR face database, the database through the PCA dimension reduction training sample reduction data for 700 images of 100 individua
AR
- AR face database which contains 100 persons, each person has 26 images