搜索资源列表
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 d
pca_ann
- face recognition using pca and ann wih training and testing and validation privided for ORL databases -face recognition using pca and ann wih training and testing and validation privided for ORL databases
orl_little
- ORL的人脸识别库,是一个较少的人脸库,可很好的用作初期试验-ORL Recognition
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
lda_orl
- 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. -This code is LDA base face recognit
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
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 th
ORL
- orl 人脸识别库文件-orl for man s face
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
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-face-date
- 可以直接运行的人脸检测的orl人脸库,我是初学者,希望对你有所帮助-this is a adaboosting face detetion date.hope help you.thank you down
2DPCA_2DLDA
- 利用2DPCA和2DLDA在ORL人脸数据库上做的人脸识别实验,注解详细,适合初学者使用,对理解PCA与LDA有很大的作用。-2DPCA and 2DLDA use in ORL face database for face recognition experiments do, comment in detail, suitable for beginners, on the understanding of PCA and LDA
ORL
- orl database for test image processing
ORL-FACE
- Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p N). We called the new subspace defined by basis vectors “face
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
2D-LDA
- 2维线性判别进行人脸识别的程序,很不错!采用ORL人脸库,取每人的1、3、5、7、9五幅图像作为训练图像,其余作为测试图像,进行二维线性判别。计算出特征向量矩阵,降序排列后,取前d(d=2,4,6,……,20)个特征向量组成的矩阵作为变换矩阵,对训练集合测试集进行特征重建,最后采用最近邻分类器。附有实验的结果。-code for face recognition based 2D-LDA,the performance is nice!
projekt
- Implement two methods face recognition: PCA and LDA for ORL face base