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文件名称:FaceRec

  • 所属分类：
    图形/文字识别
  • 标签属性：
    [Matlab] [源码]
  • 上传时间：
    2017-07-07
  • 文件大小：
    10.92mb
  • 已下载：
    0次
  • 提 供 者：
    浏*****
  • 相关连接：
    无
  • 下载说明：
    别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

人脸识别是一个有监督学习过程，首先利用训练集构造一个人脸模型，然后将测试集与训练集进行匹配，找到与之对应的训练集头像。最容易的方式是直接利用欧式距离计算测试集的每一幅图像与训练集的每一幅图像的距离，然后选择距离最近的图像作为识别的结果。这种直接计算距离的方式直观，但是有一个非常大的缺陷—计算量太大。如果每幅图像大小为100*100，训练集大小1000，则识别测试集中的一幅图像就需要1000*100*100的计算量，当测试集很大时，识别速度非常缓慢。(Face recognition is a supervised learning process. Firstly, a face model is constructed by training set, and then the test set is matched with the training set to find the corresponding training set head. The easiest way is to directly use the Euclidean distance to compute the distance between each image of the test set and each image of the training set, and then select the nearest image as the result of recognition. This method of calculating distances directly is intuitive, but there is a very big flaw - too much computation. If the size of each image is 100*100, and the training set size is 1000, then it is necessary to recognize an image in the test set, and the computation amount of 1000*100*100 is required. When the test set is large, the recognition speed is very slow.)
相关搜索： FaceRec

(系统自动生成,下载前可以参看下载内容)

下载文件列表

FaceRec\approx.m
FaceRec\classify.asv
FaceRec\classify.m
FaceRec\composite.tiff
FaceRec\Data\ORL\README
FaceRec\Data\ORL\s1\1.pgm
FaceRec\Data\ORL\s1\10.pgm
FaceRec\Data\ORL\s1\2.pgm
FaceRec\Data\ORL\s1\3.pgm
FaceRec\Data\ORL\s1\4.pgm
FaceRec\Data\ORL\s1\5.pgm
FaceRec\Data\ORL\s1\6.pgm
FaceRec\Data\ORL\s1\7.pgm
FaceRec\Data\ORL\s1\8.pgm
FaceRec\Data\ORL\s1\9.pgm
FaceRec\Data\ORL\s10\1.pgm
FaceRec\Data\ORL\s10\10.pgm
FaceRec\Data\ORL\s10\2.pgm
FaceRec\Data\ORL\s10\3.pgm
FaceRec\Data\ORL\s10\4.pgm
FaceRec\Data\ORL\s10\5.pgm
FaceRec\Data\ORL\s10\6.pgm
FaceRec\Data\ORL\s10\7.pgm
FaceRec\Data\ORL\s10\8.pgm
FaceRec\Data\ORL\s10\9.pgm
FaceRec\Data\ORL\s11\1.pgm
FaceRec\Data\ORL\s11\10.pgm
FaceRec\Data\ORL\s11\2.pgm
FaceRec\Data\ORL\s11\3.pgm
FaceRec\Data\ORL\s11\4.pgm
FaceRec\Data\ORL\s11\5.pgm
FaceRec\Data\ORL\s11\6.pgm
FaceRec\Data\ORL\s11\7.pgm
FaceRec\Data\ORL\s11\8.pgm
FaceRec\Data\ORL\s11\9.pgm
FaceRec\Data\ORL\s12\1.pgm
FaceRec\Data\ORL\s12\10.pgm
FaceRec\Data\ORL\s12\2.pgm
FaceRec\Data\ORL\s12\3.pgm
FaceRec\Data\ORL\s12\4.pgm
FaceRec\Data\ORL\s12\5.pgm
FaceRec\Data\ORL\s12\6.pgm
FaceRec\Data\ORL\s12\7.pgm
FaceRec\Data\ORL\s12\8.pgm
FaceRec\Data\ORL\s12\9.pgm
FaceRec\Data\ORL\s13\1.pgm
FaceRec\Data\ORL\s13\10.pgm
FaceRec\Data\ORL\s13\2.pgm
FaceRec\Data\ORL\s13\3.pgm
FaceRec\Data\ORL\s13\4.pgm
FaceRec\Data\ORL\s13\5.pgm
FaceRec\Data\ORL\s13\6.pgm
FaceRec\Data\ORL\s13\7.pgm
FaceRec\Data\ORL\s13\8.pgm
FaceRec\Data\ORL\s13\9.pgm
FaceRec\Data\ORL\s14\1.pgm
FaceRec\Data\ORL\s14\10.pgm
FaceRec\Data\ORL\s14\2.pgm
FaceRec\Data\ORL\s14\3.pgm
FaceRec\Data\ORL\s14\4.pgm
FaceRec\Data\ORL\s14\5.pgm
FaceRec\Data\ORL\s14\6.pgm
FaceRec\Data\ORL\s14\7.pgm
FaceRec\Data\ORL\s14\8.pgm
FaceRec\Data\ORL\s14\9.pgm
FaceRec\Data\ORL\s15\1.pgm
FaceRec\Data\ORL\s15\10.pgm
FaceRec\Data\ORL\s15\2.pgm
FaceRec\Data\ORL\s15\3.pgm
FaceRec\Data\ORL\s15\4.pgm
FaceRec\Data\ORL\s15\5.pgm
FaceRec\Data\ORL\s15\6.pgm
FaceRec\Data\ORL\s15\7.pgm
FaceRec\Data\ORL\s15\8.pgm
FaceRec\Data\ORL\s15\9.pgm
FaceRec\Data\ORL\s16\1.pgm
FaceRec\Data\ORL\s16\10.pgm
FaceRec\Data\ORL\s16\2.pgm
FaceRec\Data\ORL\s16\3.pgm
FaceRec\Data\ORL\s16\4.pgm
FaceRec\Data\ORL\s16\5.pgm
FaceRec\Data\ORL\s16\6.pgm
FaceRec\Data\ORL\s16\7.pgm
FaceRec\Data\ORL\s16\8.pgm
FaceRec\Data\ORL\s16\9.pgm
FaceRec\Data\ORL\s17\1.pgm
FaceRec\Data\ORL\s17\10.pgm
FaceRec\Data\ORL\s17\2.pgm
FaceRec\Data\ORL\s17\3.pgm
FaceRec\Data\ORL\s17\4.pgm
FaceRec\Data\ORL\s17\5.pgm
FaceRec\Data\ORL\s17\6.pgm
FaceRec\Data\ORL\s17\7.pgm
FaceRec\Data\ORL\s17\8.pgm
FaceRec\Data\ORL\s17\9.pgm
FaceRec\Data\ORL\s18\1.pgm
FaceRec\Data\ORL\s18\10.pgm
FaceRec\Data\ORL\s18\2.pgm
FaceRec\Data\ORL\s18\3.pgm
FaceRec\Data\ORL\s18\4.pgm

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