搜索资源列表
人脸识别程序SVM,matlab的
- 人脸识别程序SVM,matlab的……初次上传多多指教,Face Recognition procedures SVM, matlab ... ... the initial upload of the exhibitions
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
face-recognition
- 含有PCA经典人脸识别方法和PCA+SVM人脸识别方法-Classical Face Recognition with PCA and PCA+ SVM face recognition method
Adaboostzddddg
- 很好的关于人脸识别的毕业论文,从中国知网付费下载得到,《Adaboost人脸识别及其应用研究 》希望对大家有用。-About Face Recognition of good theses, pay-per-download from the Chinese HowNet be, " Adaboost Face Recognition and Its Application" I hope useful to everyone.
svm
- svm用于人脸识别,效果还行!matlab,可以学习!-face recognize based on svm,its nice to learn!
PosixSVM
- 用改进SVM实现人脸特征提取和识别,用matlab编写,和结果分析-A matlab code of enhanced SVM for face recognition
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
chapter13
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》6 支持向量机,综合案例——基于PCA和SVM的人脸识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Recognition Syste
Complete-identification-including-skin-and-the-act
- 本文的目的是提供一个我开发的SSE优化的,C++库,用于人脸检测,你可以马上把它用于你的视频监控系统中。涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程,还有一下其它的人脸检测的背景知识-The purpose of this paper is to provide an I developed SSE optimized, C++ library, used for face d
PCA-SVM
- 人脸识别程序 程序源代码可见 识别精度高PCA-SVM-Face Recognition program PCA-SVM
svm
- 几篇有关基于向量机的人脸识别EI论文,希望对从事人脸识别的人员有所帮助-Few articles about the EI-based Face Recognition paper, the staff want to help in the face recognition
pcasvm1
- 这是一篇关于PCA/SVM的人脸识别论文并附有我编的源码-This is an paper on PCA/SVM for face recognition papers including my source code
pca-svm
- 基于pca的人脸识别程序,人脸库需要自己下载,供参考-Pca-based face recognition program needs to download face database, for reference
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取,用SVM多累分类器对人脸进行识别,有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
基于SVM的人脸识别源代码
- 本程序是介绍SVM算法的matlab程序,主要用于人脸识别方面(This procedure is introduced SVM algorithm matlab procedures, mainly for face recognition)
SVM人脸识别2
- 实现人脸识别,分类器用svm,功能非常好,改名易于理解,适合初学者(The realization of face recognition, the classifier uses SVM, the function is very good, the Rename is easy to understand, suitable for the beginner.)
(PCA+SVM)人脸识别
- 人脸识别,降维 加分类,主成分分析降维,支持向量机分类(Face recognition, principal component analysis reduced Vega classification, dimension reduction, support vector machine classification)
PCA+SVM
- 用于人脸识别,包含了PCA及SVM算法,数据集采用的ORL数据库(face recognition(PCA+SVM))
PCA+SVM的人脸识别
- 使用pca和svm的方法对人脸进行识别和检测,最终达到人脸识别的功能(Face recognition and detection using PCA and SVM methods, and finally achieve the function of face recognition)
基于PCA和SVM的人脸识别系统
- 先通过图像处理提取人脸的各个特征,然后对人脸通过PCA进行降维,然后通过SVM进行人脸识别(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)