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chengxu
- 这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
PCA
- PCA与不用PCA进行人脸识别的比较，请先安装sltoolbox，人脸数据库采用orl-PCA and PCA for face recognition do not have the comparison, please install sltoolbox, face database used orl
MPCALDA
- 编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
AnimprovedBayesianfacerecognitionalgorithm
- 对人脸识别的贝叶斯方法ML中相似度计算公式进行了简化，对数据集的训练和人脸图像的预处理进 行了修改，提出了一种改进的贝叶斯人脸识另1】算法SML。在FERET人脸图像库的子集和南大人脸图像实验库上对 识别算法进行了测试和比较。实验表明，SML算法提高了ML算法的效率，克服了ML算法计算效率不高的缺陷，而 且SML的识别效率明显高于PCA方法。-Bayesian face recognition method on the ML in the similarity formula ha
zhongshu
- 人脸识别 求特征向量 均值脸 pca 特征值 支持向量包 各种M文件 支持向量机的应用发展等-Mean face recognition pca eigenvector eigenvalue vector covering all M documents the application of support vector machine development
Thesiswithcode
- Eigen face(PCA) face recognition
12531568pca
- 基于matlab的PCA人脸识别完成程序，包含特征值与特征向量的提取、训练样本以及最后的识别检验-Matlab-based PCA Face Recognition to complete the process, including the eigenvalues and eigenvectors, identification of training samples and the final test
PCA_based-Face-Recognition-System
- 基于PCA的人脸识别算法，包含了一个小型的数据库，可以直接运行，识别率相当高，可以作为教学演示以及其他研究-PCA-based face recognition algorithm, contains a small database, can be directly run, the recognition rate is very high, can serve as a teaching demonstration and other research
facedistinguish
- 利用matlab，通过PCA人脸识别算法对采集的人脸进行识别-Use matlab, through the PCA face recognition algorithm for the acquisition of the human face recognition
PCA-and-LDA-Face-recognition
- 运用PCA和LDA进行人脸识别的MATLAB代码 -do the face recognition use the principal component analysis and linear discriminant analysis
PCA
- 基于标准人脸苦的人脸识别的检测方法的部分程序-Part of the program based on standard face detection method bitter face recognition
pca
- 是用主元分析法实现的较高识别率的人脸识别，开发环境是MATLAB-It is the principal component analysis method is used to implement the high recognition rate of face recognition, development is the MATLAB environment
pca
- 用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等-For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc
dataORL
- pca人脸识别，使用pca方法对人脸模型进行处理(Pca face recognition, using pca method to deal with facial model)
PCA_based Face Recognition System
- 特征脸的人脸识别系统 这个包实现了一个著名的基于PCA的人脸识别。(Feature based face recognition system This package implements a well-known PCA based face recognition.)
PCA_based Face Recognition System
- PCA_based Face Recognition System
PCA_based Face Recognition System
- principal component analysis Based Face Recognition System.
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-SVM
- 用PCA和SVM实现人脸识别，是经典的人脸识别Python代码(Face recognition using PCA and SVM)