文件名称:FisherFaces
介绍说明--下载内容均来自于网络,请自行研究使用
本文在Matlab R2012a下面实现了fisherface算法,选用的人脸库是ORL,其中有40 人,每人有10幅不同的人脸图像。本文选取了每人9幅作为训练(1幅作为测 试),图像大小为112x92。
主程序入口:Main.m
读取样本:CreatDatabase.m
FisherFace核心:FisherFaceCore.m
识别:Recognition.m
训练样本库:TrainDatabase
测试样本库:TestDatabase
不足:识别准确率有待提高。-In this paper, Matlab R2012a achieved fisherface following algorithm is chosen face database ORL, in which 40 people, each person will have 10 different facial images. This paper selected as the training 9 per person (one as a test), the image size is 112x92.
Main entrance: Main.m
Read sample: CreatDatabase.m
FisherFace Core: FisherFaceCore.m
Identification: Recognition.m
Training sample library: TrainDatabase
Test sample library: TestDatabase
Inadequate: recognition accuracy to be improved.
主程序入口:Main.m
读取样本:CreatDatabase.m
FisherFace核心:FisherFaceCore.m
识别:Recognition.m
训练样本库:TrainDatabase
测试样本库:TestDatabase
不足:识别准确率有待提高。-In this paper, Matlab R2012a achieved fisherface following algorithm is chosen face database ORL, in which 40 people, each person will have 10 different facial images. This paper selected as the training 9 per person (one as a test), the image size is 112x92.
Main entrance: Main.m
Read sample: CreatDatabase.m
FisherFace Core: FisherFaceCore.m
Identification: Recognition.m
Training sample library: TrainDatabase
Test sample library: TestDatabase
Inadequate: recognition accuracy to be improved.
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下载文件列表
FisherFaces
...........\CreateDatabase.m
...........\FisherfaceCore.m
...........\Main.m
...........\Recognition.m
...........\TrainDatabase
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