搜索资源列表
人脸识别
- 利用PCA主成分分析法对人脸进行降维处理，之后进行识别(face recognition using pca)
]ORL+PCA+SVM-11
- 编写了用户界面程序实现ocr人脸数据集的识别，使用了svm分类器(A user interface program is developed to realize the recognition of OCR face data set, and the SVM classifier is used)
基于主分量的人脸重构
- 本实验是基于主成分分析法（PCA）在人脸识别中的应用，采用SVM分类器在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真。
PCA
- 非常经典的特征提取算法，经常用来做降维方法，但是也可以直接用来做特征提取，很适合图像处理入门，在人脸识别也经常用到(Very classic feature extraction algorithm, often used to do dimensionality reduction methods, but can also be used directly to do feature extraction, it is suitable for image processing, in fa
(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)
FaceRecognition
- 基于主成分分析的人脸识别，应用K-L变换作特征处理(Face recognition based PCA)
pca FaceIndentify
- 基于PCA的人脸识别代码，可以自己添加需要训练的人脸库
PCA&2DPCA (1)
- pca和2dpca的MATLAB人脸识别。并且使用orl人脸数据库进行测试(PCA and 2DPCA's MATLAB face recognition. And use the ORL face database to test)
pca
- A face recognition algorithm of pca using java code
face-KNN
- 用PCA算法和KNN算法实现人脸识别，参数可以自己调整(The PCA algorithm and the KNN algorithm are used to realize the face recognition, and the parameters can be adjusted by themselves)
face-Bayes-GaussianNB
- 用贝叶斯中的高斯类库实现人脸识别，结合PCA算法实现(Face recognition using the Gauss class library in Bayes, combined with PCA algorithm)
face-Bayes-BernoulliNB
- 用贝叶斯中的努伯利类实现人脸识别，结合PACK算法实现(Bayesian face recognition in Nuboli, combined with PACK algorithm)
52176893pca-matlab-code
- pca人脸识别算法,人脸检测，欧式距离，特征向量求法等。(PCA face recognition algorithm, face detection, Euclidean distance, eigenvector method and so on.)
PCA based on Face Recognition
- 主要实现的是基于PCA的人脸识别算法 Matlab代码(PCA-based face recognition algorithm)
PCA+GUI人脸识别
- 基于PCA主成分分析算法和Yale人脸数据库，采用Matlab语言实现的人脸识别程序，整个程序分为预处理、训练、识别、GUI界面控制等几个模块，注释清晰，通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divide
特征脸方法PCA
- 这篇文章是撸主要介绍人脸识别经典方法的第一篇，后续会有其他方法更新。特征脸方法基本是将人脸识别推向真正可用的第一种方法，了解一下还是很有必要的(This article is the first line mainly introduces classical face recognition methods, the follow-up there will be other methods to update. The feature face method is basically the
基于PCA的人脸识别
- 基于PCA的人脸识别，包括图片的预处理，特诊提取，人脸识别，是一份不错的学习资料(Face recognition based on PCA, including image preprocessing, special diagnosis and face recognition, is a good learning material.)
PCA+LDA
- pca+lda人脸识别，可在MATLAB上运行(Based on pca+ Ldaface recognition procedures can be directly run matlab)
PCA_based Face Recognition System
- 基于主成分分析pca的人脸识别matlab源码，用的是orl库(Face recognition matlab source code based on PCA)
pca
- PCA算法可在MATLAB中配合人脸数据库实现人脸识别(PCA algorithm can be used to realize face recognition algorithm.)