搜索资源列表
enginface
- 特征脸人脸识别程序源码，开发环境为matlab环境-Eigenface face recognition program source code, development environment for the matlab environment
acpeigenface
- a simple eigenface program under matlab Imagetest is the picture of the guy you want to find among the 20 guys
PCA_Face_Recognition
- 特征脸识别算法的完全Matlab实现，内附有详细的训练集、测试集和使用说明-Eigenface algorithm to achieve the full Matlab, enclosing a detailed training set, test set and instructions for use
Mfacce_recogna
- 这个Matlab程序源码使用eigenface系统实现人脸识别，它使用AT&T的的数据库，运行代码实例前，请阅读其中的comment，下载该数据库。 可直接使用。 -This Matlab program source code face recognition using eigenface system, which uses AT & T' s database, run the code examples, please read the comment and dow
Mfaccrara
- 人脸识别的matlab代码，本征脸（ eigenface ）方法是子子空间人脸识别方法的典型代表。该方法一种基于一种部分的K -Matlab code for face recognition, eigenface (the eigenface) is a typical representative of the sub subspace face recognition methods. This method is based on a part of the K
Android_FaceRecog
- Android下的人脸识别程序，有matlab算法验证和java源程序，采用了eigenface和fisherface两种不同的算法程，可直接在android手机上运行。-Android Face Recognition under procedures matlab algorithm validation and java source code, the use the eigenface and fisherface of two different algorithms process
EigenFisherFace
- 基于EigenFace和FisherFace的人脸识别算法在matlab上的实现-Based on the face recognition EigenFace and FisherFace algorithm implementation in matlab
PCA
- 该压缩包包含了基于主成分分析的人脸识别代码，以及matlab的数据库。并有详细的注释。-This zip file contain the matlab code of eigenface. Further, we also detail the meaning of some important code.
PCA
- 这是一个主成分分析算法的MATLAB程序，适合初学者学习。-A sample scr ipt, which shows the usage of functions, included in PCA-based face recognition system (Eigenface method)
recognition-of-face
- 采用特征脸，主成分分析算法的人脸识别，完全可以运行的matlab代码-Using eigenface, principal component analysis algorithm of face recognition, can run the matlab code
eugenface
- 一个有关eigenface的matlab 例程 不错的源码 很好-A matlab routines on eigenface good source is very good
seriamizatson
- 一个有关eigenface的matlab 例程 不错的源码 很好(A matlab routines on eigenface good source is very good)