文件名称:KFDA-face-recognition-method

  • 所属分类:
  • 图形/文字识别
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 7.46mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • wang*****
  • 相关连接:
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一种一致最优的KFDA人脸识别方法,在Yale Face Database人脸数据库的试验结果证实了该方法的有效性。

-One of the most optimal KFDA face recognition method
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一种最优的KFDA人脸识别方法的Matlab程序\array_to_vecter.m

......................................\a_terminal_caculus.m

......................................\center_arrange_caculus.m

......................................\center_class_caculus.m

......................................\chinesetitlelabel.m

......................................\Collect.m

......................................\digit2.mat

......................................\digit3.mat

......................................\dismost_class_caculus.m

......................................\distance_caculus.m

......................................\dis_center_caculus.m

......................................\DW.m

......................................\dwt_function.m

......................................\englishtitlelabel.m

......................................\insert.m

......................................\Judge_a_terminal_caculus.m

......................................\kernal_recognize_caculus.m

......................................\kernal_vecter_caculus.m

......................................\kernal_Weight_caculus.m

......................................\main.m

......................................\max_d_same_caculus.m

......................................\min_d_difference_caculus.m

......................................\min_d_two_class.m

......................................\my_Spread_Difference_caculus.m

......................................\my_Spread_inner_caculus.m

......................................\non_a_optimal_afternumber_caculus.m

......................................\non_a_optimal_caculus.m

......................................\non_zero_vecter_caculus.m

......................................\pair_Difference_caculus.m

......................................\PCASpread_Difference_caculus.m

......................................\PCASpread_inner_caculus.m

......................................\photo_w_reflect_caculus.m

......................................\Processing.m

......................................\randcollect.m

......................................\rand_int.m

......................................\rate_recognize_caculus.m

......................................\Reflect_vecter_num_caculus.m

......................................\Samplenumberprocessing.m

......................................\select.m

......................................\shortest_distant_caculus.m

......................................\Spread_Difference_caculus.m

......................................\Spread_inner_caculus.m

......................................\subject0101.centerlight

......................................\subject0102.glasses

......................................\subject0103.happy

......................................\subject0104.leftlight

......................................\subject0105.noglasses

......................................\subject0106.normal

......................................\subject0107.rightlight

......................................\subject0108.sad

......................................\subject0109.sleepy

......................................\subject0110.surprised

......................................\subject0111.wink

......................................\subject0201.centerlight

......................................\subject0202.glasses

......................................\subject0203.happy

......................................\subject0204.leftlight

......................................\subject0205.noglasses

......................................\subject0206.normal

......................................\subject0207.rightlight

......................................\subject0208.sad

......................................\subject0209.sleepy

......................................\subject0210.surprised

......................................\subject0211.wink

......................................\subject0301.centerlight

......................................\subject0302.glasses

......................................\subject0303.happy

......................................\subject0304.leftlight

.............................

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