Search - eigenfaces matlab

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[Other resource] eigenfaces DL : 0: 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
Update : 2008-10-13 Size : 1.09kb Publisher : 氓流
[Bio-Recognize] eigenface DL : 0: 经典的特征脸识别算法经典的特征脸识别算法 -description: a matlab program that implement the classical face recognition base on eigenface
Update : 2025-02-19 Size : 1kb Publisher : kkxx
[Graph Recognize] 特征脸人脸识别 DL : 1: 有应用matlab进行编程的源代码.m文件,以及运行需要的图象文件.-Matlab Applications for the program source code. M documents needed for the operation and image files.
Update : 2025-02-19 Size : 546kb Publisher : 马燕
[AI-NN-PR] eigenfaces DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 氓流
[GDI-Bitmap] eigenfaces DL : 0: eigenfaces,基于特征脸的人脸识别的一个例子.入门级别-eigenfaces, feature-based Face to Face Recognition is a case in point. Portal-level
Update : 2025-02-19 Size : 2kb Publisher : djfh hdh
[Graph Recognize] matlab.eigenfaces DL : 0: 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,
Update : 2025-02-19 Size : 11kb Publisher : zhaoyajun
[Special Effects] findface DL : 0: 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
Update : 2025-02-19 Size : 73kb Publisher : 陈炜
[Windows Develop] EigenFace_matlab DL : 1: Eigenfaces matlab, emotion
Update : 2025-02-19 Size : 5.46mb Publisher : deadmaurice
[matlab] Eigen_Fisher DL : 0: Tutorial to understans EigenFaces & FisherFaces. It has pseudo code for Matlab implementation of Eigenfaces & FisherFaces
Update : 2025-02-19 Size : 3.52mb Publisher : Theo
[matlab] 1 DL : 0: 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 matlab Face Recognition System Based on PCA and FLD-based face recognition systems, which sample the image of Essex face database for ' face94' part of images, documents may refer to " Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. " procedures have been tested there is no problem to normal operation.
Update : 2025-02-19 Size : 369kb Publisher : 刘子木
[Graph program] PCAEigenfaces DL : 0: 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
Update : 2025-02-19 Size : 3kb Publisher : jiangjun
[Graph program] FaceDetection DL : 0: 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
Update : 2025-02-19 Size : 401kb Publisher : jiangjun
[matlab] Eigenfaces DL : 0: Eigenfaces tests for grayscale images using PCA and SVD
Update : 2025-02-19 Size : 1.45mb Publisher : Dwra
[Graph Recognize] AComparativeStudyonFaceRecognitionUsingLDA-BasedAl DL : 0: 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 representation with enhanced discriminatory power is of paramount importance to face recognition(FR)system．Linear Discriminant Analysis(LDA)is one of the most popular linear classification techniques of feature extraction。but it will meet two problems as computational challenging and “small sample size’’when applying to face recognition directly．After studying people solve the two problems through several ways and realize the face recogni— tion based on LDA． The short paper here makes compare on theory and experimental data analysis on several Face Recognition system using LDA—Based Algorithm，such as Eigenfaces(using PCA)，Fisherfaces，DLDA，VDLDA and VD— FLDA．The experimental results show that the VDFLDA method is the best of al1．
Update : 2025-02-19 Size : 217kb Publisher : 费富里
[Graph program] Facedetect DL : 0: 　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 Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.
Update : 2025-02-19 Size : 219kb Publisher : Highjoe
[matlab] CalculateRate DL : 0: 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 using class specific linear projection." Procedures have been tested there is no problem running
Update : 2025-02-19 Size : 490kb Publisher : jefferychang
[matlab] fisherface DL : 0: 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 faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.
Update : 2025-02-19 Size : 11kb Publisher : sam
[matlab] EigenFace DL : 0: 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. Absence of any expression is the "Neutral" expression 2. Intensity of a particular expression can be identified by the level of its "dissimilarity" from the Neutral expression
Update : 2025-02-19 Size : 5.46mb Publisher : 马瑞欣
[2D Graphic] face_recognition_PCAPBPNN DL : 0: 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 Neural Network (BPNN).
Update : 2025-02-19 Size : 2.97mb Publisher : amine
[Industry research] calculaAutocaras DL : 0: AUTOCARAS EIGENFACES MATLAB
Update : 2025-02-19 Size : 1kb Publisher : laura.blanco

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