搜索资源列表
Eigen_Fisher
- Tutorial to understans EigenFaces & FisherFaces. It has pseudo code for Matlab implementation of Eigenfaces & FisherFaces
pcaAlgorithm
- MATLAB code for generating faces using PCA. Displays all of the eigenfaces in a separate figure.
findSimilar3.m.tar
- find similar faces with eigenfaces.
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—d
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
altroeigen
- These file contains an implementation of eigenfaces for MAtlab
altroeigen2
- eigenfaces algorithm
ORL-FACE
- 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
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
EigenfacesforRecognition
- 想知道人脸识别的基本原理吗？这里使用特征脸方法总结的数学算法。-Want to know the basic principles of face recognition it? Methods used here Eigenfaces mathematical algorithm.
FaceRecognition
- Face Recognition based on PLE dataset from CMU-Using Eigenfaces and Template matching
Eigenfaces_for_Recognition_kimo
- Eigenfaces for Recognition
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 i
mypca
- principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small
problemset-11-solution
- Using PCA to find eigenfaces and show them.Using PCA find appropriate number of eigenfaces such as at least 90 of variation will be sustained. Show the training face images according to this new coordinate system.-Using
PCA-for-Face-Recognition-[TA]
- Teaching about pca - principal component analysis. you can learn how pca work and what eigenfaces is?
Face-Recong-eigen
- Face recognition using eigenfaces
pca
- pca进行人脸识别的原理和代码，特征脸方法，图像重建-PCA for face recognition principle and code, Eigenfaces method, image reconstruction
PCAEigen
- eigenfaces face recognition is an algorithm using PCA (principal component anlysis) to identify persons via their visages
Mio
- This i for face recognition using eigenfaces.