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eigenfaces
- 基于SVD的主量提取的人脸识别的matlab源码-based on the SVD Major Face recognition from the matlab FOSS
matlab.eigenfaces
- 基于本征脸的人脸识别系统，代码简短精简，易懂，-levy on the face of the face recognition system, code brief concise, understandable,
findface
- 采用特征脸的人脸识别matlab程序,识别特定的人脸-eigenfaces for Face Recognition using matlab procedures, identify a specific face
EigenFace_matlab
- eigenfaces matlab, emotion
Eigen_Fisher
- Tutorial to understans eigenfaces & FisherFaces. It has pseudo code for matlab implementation of eigenfaces & FisherFaces
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- Amir Hossein Omidvarnia用matlab编写的基于PCA的人脸识别系统和基于FLD的人脸识别系统,其中 的图像示例为Essex face database中 face94 的部分图像,文献可参考"eigenfaces vs. Fisherfaces: Recognition using class specific linear projection."已经测试过程序可正常运行没有问题。-Amir Hossein Omidvarnia prepared using
PCAeigenfaces
- PCA特征脸训练和重建程序 可以直接运行 很好用-PCA eigenfaces training and rehabilitation programs can be directly used to run fine
FaceDetection
- 基于特征脸的人脸检测方法 用matlab实现 可以直接运行-eigenfaces for Face Detection Methods Using matlab implementation can be directly run
pcaAlgorithm
- matlab code for generating faces using PCA. Displays all of the eigenfaces in a separate figure.
eigenfaces
- eigenfaces tests for grayscale images using PCA and SVD
AComparativeStudyonFaceRecognitionUsingLDA-BasedAl
- 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。但是将LDA直接用于人脸识别 会遇到维数问题和“小样本”问题。人们经过研究，通过多种途径解决了这两个问题并实现了基于I,DA的人脸识 别 文章对几种基于LDA的人脸识别方法做了理论上的比较和实验数据的支持，这些方法包括eigenfaces、Fish— erfaceS、DLDA、VDLDA及VDFLDA。实验结果表明VDFLDA是其中最好的一种方法。-Low—dimensional feature representat
Facedetect
- 计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。-Computer Fac
CalculateRate
- 用matlab编写的基于人脸识别系统,文献可参考"eigenfaces vs. Fisherfaces: Recognition using class specific linear projection."已经测试过程序可正常运行没有问题-Prepared using matlab face recognition system based on the literature may refer to " eigenfaces vs. Fisherfaces: Recognition
altroeigen
- These file contains an implementation of eigenfaces for matlab
fisherface
- eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p N). We called the new subspace defined by basis vectors “face space”. First, all training
EigenFace
- 基于PCA的人脸表情识别，可以辨别高兴，愤怒和厌恶三种表情。 -In this project, eigenfaces are used to classify facial expression. It has been assumed that, facial expression can be classified into some discreet classes (like anger, happiness, disgust or sadness) whereas: 1. A
face_recognition_PCAPBPNN
- The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
calculaAutocaras
- AUTOCARAS eigenfaces matlab
eigenfaces
- This a code in matlab for face recognition using PCA-This is a code in matlab for face recognition using PCA