搜索资源列表
facerec
- 一个修改后的PCA进行人脸识别的Matlab代码-a change of face recognition for the PCA Matlab code
FaceRec
- pca人脸识别matlab源码,其中提供了详细的步骤说明
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
FaceRec
- 本程序是用matlab实现人脸识别。里面附带人脸图片，并用其作为例子实现指纹图像的匹配-This procedure is implemented using matlab face recognition. Which comes with face images, and use it as an example to achieve the matching of the fingerprint image
facerec
- Matlab code to create and read database images in Excel.
trojansearching
- Copy all files in Matlab current directory and type "facerec" on Matlab command window. First, select an input image clicking on "Select image". Then you can - add this image to database (click on "Add selected image to database" - per
FaceRec
- 这是一个用matlab实现的基于支持向量机的人脸识别系统，已经本人调试通过，非常有用。-This is a matlab implementation with support vector machine-based face recognition system has been through my debugging, very useful.
FaceRec
- 在Matlab的开发环境下的人脸识别程序，简单易懂，希望对你有帮助-Face recognition
FaceRec
- matlab实现人脸识别，图像定位，表情捕捉等-Matlab face recognition, image positioning, expression capture, etc
PCAmatlab-
- PCA人脸识别 的源代码 在matlaB 里面实现的-PCA MatlAB FaceRec.m eigface Reconstruct.m calc xmean,sigma and its eigen decomposition
FaceRec
- 通过预建的人脸图像库，实现人脸识别的matlab程序。-By pre-built library of face images, face recognition matlab program.
FaceRec
- 基于PCA和SVM的人脸识别系统的matlab程序-Chaos-based image encryption and decryption process
FaceRec
- 人脸表情识别matlab程序PCA+SVM算法，SVM分类-orL人脸数据库有数据有图片-Facial expression recognition matlab program PCA+SVM algorithm, SVM classification-orL face
FaceRec
- This file include face recognation matlab code
FaceRec
- 基于pca+matlab的人脸识别 比较详细可以借鉴 喜欢的可以多下载(Face recognition based on pca+matlab More detailed, you can learn from the favorite, you can download more)
FaceRec
- 对人脸进行特征提取，并使用K近邻算法得其识别率(Feature extraction is performed on the face and its recognition rate is obtained using K nearest neighbor algorithm)