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matlab人脸识别样本图片加代码模型和主成分.part8

于 2020-06-23 发布 文件大小:4260KB
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下载积分: 1 下载次数: 1

代码说明:

  如题,里面有414张人脸图+matlab 图像重构代码和图像主成分代码(As the title says, there are 414 face pictures in it.+Model of image rebuild +Pca for Image code)

文件列表:

ModuleforImageRebuilt.m, 13291 , 2010-02-08
ORL, 0 , 2019-07-13
ORL\ORL001.BMP, 11382 , 2008-03-25
ORL\ORL002.BMP, 11382 , 2008-03-25
ORL\ORL003.BMP, 11382 , 2008-03-25
ORL\ORL004.BMP, 11382 , 2008-03-25
ORL\ORL005.BMP, 11382 , 2008-03-25
ORL\ORL006.BMP, 11382 , 2008-03-25
ORL\ORL007.BMP, 11382 , 2008-03-25
ORL\ORL008.BMP, 11382 , 2008-03-25
ORL\ORL009.BMP, 11382 , 2008-03-25
ORL\ORL010.BMP, 11382 , 2008-03-25
ORL\ORL011.BMP, 11382 , 2008-03-25
ORL\ORL012.BMP, 11382 , 2008-03-25
ORL\ORL013.BMP, 11382 , 2008-03-25
ORL\ORL014.BMP, 11382 , 2008-03-25
ORL\ORL015.BMP, 11382 , 2008-03-25
ORL\ORL016.BMP, 11382 , 2008-03-25
ORL\ORL017.BMP, 11382 , 2008-03-25
ORL\ORL018.BMP, 11382 , 2008-03-25
ORL\ORL019.BMP, 11382 , 2008-03-25
ORL\ORL020.BMP, 11382 , 2008-03-25
ORL\ORL021.BMP, 11382 , 2008-03-25
ORL\ORL022.BMP, 11382 , 2008-03-25
ORL\ORL023.BMP, 11382 , 2008-03-25
ORL\ORL024.BMP, 11382 , 2008-03-25
ORL\ORL025.BMP, 11382 , 2008-03-25
ORL\ORL026.BMP, 11382 , 2008-03-25
ORL\ORL027.BMP, 11382 , 2008-03-25
ORL\ORL028.BMP, 11382 , 2008-03-25
ORL\ORL029.BMP, 11382 , 2008-03-25
ORL\ORL030.BMP, 11382 , 2008-03-25
ORL\ORL031.BMP, 11382 , 2008-03-25
ORL\ORL032.BMP, 11382 , 2008-03-25
ORL\ORL033.BMP, 11382 , 2008-03-25
ORL\ORL034.BMP, 11382 , 2008-03-25
ORL\ORL035.BMP, 11382 , 2008-03-25
ORL\ORL036.BMP, 11382 , 2008-03-25
ORL\ORL037.BMP, 11382 , 2008-03-25
ORL\ORL038.BMP, 11382 , 2008-03-25
ORL\ORL039.BMP, 11382 , 2008-03-25
ORL\ORL040.BMP, 11382 , 2008-03-25
ORL\ORL041.BMP, 11382 , 2008-03-25
ORL\ORL042.BMP, 11382 , 2008-03-25
ORL\ORL043.BMP, 11382 , 2008-03-25
ORL\ORL044.BMP, 11382 , 2008-03-25
ORL\ORL045.BMP, 11382 , 2008-03-25
ORL\ORL046.BMP, 11382 , 2008-03-25
ORL\ORL047.BMP, 11382 , 2008-03-25
ORL\ORL048.BMP, 11382 , 2008-03-25
ORL\ORL049.BMP, 11382 , 2008-03-25
ORL\ORL050.BMP, 11382 , 2008-03-25
ORL\ORL051.BMP, 11382 , 2008-03-25
ORL\ORL052.BMP, 11382 , 2008-03-25
ORL\ORL053.BMP, 11382 , 2008-03-25
ORL\ORL054.BMP, 11382 , 2008-03-25
ORL\ORL055.BMP, 11382 , 2008-03-25
ORL\ORL056.BMP, 11382 , 2008-03-25
ORL\ORL057.BMP, 11382 , 2008-03-25
ORL\ORL058.BMP, 11382 , 2008-03-25
ORL\ORL059.BMP, 11382 , 2008-03-25
ORL\ORL060.BMP, 11382 , 2008-03-25
ORL\ORL061.BMP, 11382 , 2008-03-25
ORL\ORL062.BMP, 11382 , 2008-03-25
ORL\ORL063.BMP, 11382 , 2008-03-25
ORL\ORL064.BMP, 11382 , 2008-03-25
ORL\ORL065.BMP, 11382 , 2008-03-25
ORL\ORL066.BMP, 11382 , 2008-03-25
ORL\ORL067.BMP, 11382 , 2008-03-25
ORL\ORL068.BMP, 11382 , 2008-03-25
ORL\ORL069.BMP, 11382 , 2008-03-25
ORL\ORL070.BMP, 11382 , 2008-03-25
ORL\ORL071.BMP, 11382 , 2008-03-25
ORL\ORL072.BMP, 11382 , 2008-03-25
ORL\ORL073.BMP, 11382 , 2008-03-25
ORL\ORL074.BMP, 11382 , 2008-03-25
ORL\ORL075.BMP, 11382 , 2008-03-25
ORL\ORL076.BMP, 11382 , 2008-03-25
ORL\ORL077.BMP, 11382 , 2008-03-25
ORL\ORL078.BMP, 11382 , 2008-03-25
ORL\ORL079.BMP, 11382 , 2008-03-25
ORL\ORL080.BMP, 11382 , 2008-03-25
ORL\ORL081.BMP, 11382 , 2008-03-25
ORL\ORL082.BMP, 11382 , 2008-03-25
ORL\ORL083.BMP, 11382 , 2008-03-25
ORL\ORL084.BMP, 11382 , 2008-03-25
ORL\ORL085.BMP, 11382 , 2008-03-25
ORL\ORL086.BMP, 11382 , 2008-03-25
ORL\ORL087.BMP, 11382 , 2008-03-25
ORL\ORL088.BMP, 11382 , 2008-03-25
ORL\ORL089.BMP, 11382 , 2008-03-25
ORL\ORL090.BMP, 11382 , 2008-03-25
ORL\ORL091.BMP, 11382 , 2008-03-25
ORL\ORL092.BMP, 11382 , 2008-03-25
ORL\ORL093.BMP, 11382 , 2008-03-25
ORL\ORL094.BMP, 11382 , 2008-03-25
ORL\ORL095.BMP, 11382 , 2008-03-25
ORL\ORL096.BMP, 11382 , 2008-03-25
ORL\ORL097.BMP, 11382 , 2008-03-25
ORL\ORL098.BMP, 11382 , 2008-03-25

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    基于图像处理的识别技术,对扑克牌的自动识别,效果很好。(Recognition technology based on image processing,automatic identification of playing cards, the effect is very good. )
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    积分:1
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    基于模板匹配的另一种人脸识别的算法,很实用,利用肤色建模来建立人脸皮肤模型(Another based on template matching algorithm for face recognition, very practical, using skin color modeling to create a human face skin model)
    2020-06-27 10:00:02下载
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    经典的图切算法NormalizedCuts.将图论应用到图像分割上,可以限定分割块数,有效分割图像。运行:demoNcutImage.m,即可看到效果。读取的图像名称和块数,可在程序中修改。(classic NormalizedCuts MAP algorithm. On the map will be applied to image segmentation, Segmentation can block limited number of effective segmentation image. Operation : demoNcutImage.m can see results. Read the name and image of a few blocks, the procedure can be modified.)
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