搜索资源列表
orl-bmp
- ORL人脸库，BMP格式，可用于任何做人脸识别程序测试-ORL face database, BMP format, can be used for any program to do face recognition test
face-recognition
- 一个人脸识别程序，测试对象为ORL库，使用2D PCA方法-A face recognition program, the test object for the ORL database, using the 2D PCA methods
FACE-RECOG
- First takes the last selected image Calls the images from database Applies PCA to images Compares the last selected image with database images and says if it is found at the database or not. -First takes the last selected image Calls the images f
SimpleFaceDetection
- Smple Face Detection application matlab source code. İ nclude sapmle face database.
yale
- 标准的图像处理yale人脸数据库，并且分辨率也是标准的，数字图像处理的人可以参考-Standard image processing yale face database, and the resolution is also standard, digital image processing can refer to
Face-Recognition-System-using-FLD
- 采用了FLD算法，matlab语言，实现对人脸数据库的识别，系统附带有实验的数据库。-Using FLD to realise the face recognition. There are database in the system too.
CMU
- 人脸识别中常用的数据库，希望对大家有所帮助-face database
FERET
- FERET人脸数据库，80*80大小，200张人脸，每人7幅图片-feret face database，80*80
xmlcaviarguibob
- xmlcaviarguibob IS DATBASE CONTAIN FACE DATABASE FOR TEST AND FOR RAIN-xmlcaviarguibob IS DATBASE CONTAIN FACE DATABASE FOR TEST AND FOR RAIN
PCA
- Face recognition for Yale face database
Gabor_face
- 自己编写的Gabor 2DPCA人脸识别算法，提取Gabor特征，用2DPCA进行人脸识别。在Yale数据库上测试，识别率较高，速度很快。只用修改训练样本数目，直接输出识别率。本程序附带Yale人脸数据库，可以直接运行，输出识别结果。-I have written Gabor the 2DPCA face recognition algorithm, to extract the Gabor features for face recognition with 2DPCA. Tested on
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.
KPCAPORL
- 是一个很好的用于人脸识别的程序，人脸数据库是ORL，用的是KPCA方法，可以直接运行，分类识别率较高。-Is a good procedure for face recognition, face database ORL, with the KPCA method, you can run directly on classification of higher recognition rate.
PCAPLDA
- 这是一个很好的人脸识别的程序，首先用PCA降维，然后用LDA方法进行分类，用的是ORL人脸库。-This is a good face recognition program, the first PCA dimension reduction, classification, and then using the LDA method, use the ORL face database.
PCA-matlab
- PCA人脸识别的MATLAB实现，包括了ORL人脸数据库。-PCA face recognition in MATLAB, including the ORL face database.
dct_nnc
- 结合DCT和NNC进行人脸识别。先利用DCT提取特征，然后利用最近邻分类器分类，在ORL人脸库上测试效果不错。-The combination of DCT and NNC for face recognition. First DCT Feature Extraction, and then use the nearest neighbor classifiers, good test results on the ORL face database.
dct_bp
- 结合DCT和BP神经网络进行人脸识别。先利用DCT提取特征，然后利用BP神经网络分类，在ORL人脸库上测试效果不错。-The combination of DCT and BP neural network for face recognition. First DCT Feature Extraction, and then use the BP neural network classifier, a good test results on the ORL face database.
dct_pnn
- 结合DCT和概率神经网络进行人脸识别。先利用DCT提取特征，然后利用PNN分类，在ORL人脸库上测试效果不错。-The combination of DCT and probabilistic neural network for face recognition. First DCT Feature Extraction, and then use a PNN classification, good test results on the ORL face database.
face-recognation-orl-database
- 人脸检测与识别系统 PCA 测试数据库为ORL数据库-Face detection and recognition system PCA test database for ORL database
orl_cut_image
- matlab实现人脸库图像的剪裁,包括剪裁以及图像的旋转-Matlab achieve the cut of the face database images.