fisherprotected
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：246KB
下载次数：13
上传日期：2009-10-07 01:03:37
上 传 者：
wuteva
说明： This package containing the source code for face recognition using the fisherface method.
文件列表:
fisherprotected\facerecexplanation.m (5767, 2006-01-31)
fisherprotected\fisherfaces.p (28470, 2006-01-31)
fisherprotected\s1\1.pgm (10318, 1994-04-18)
fisherprotected\s1\10.pgm (10318, 1994-04-18)
fisherprotected\s1\2.pgm (10318, 1994-04-18)
fisherprotected\s1\3.pgm (10318, 1994-04-18)
fisherprotected\s1\4.pgm (10318, 1994-04-18)
fisherprotected\s1\5.pgm (10318, 1994-04-18)
fisherprotected\s1\6.pgm (10318, 1994-04-18)
fisherprotected\s1\7.pgm (10318, 1994-04-18)
fisherprotected\s1\8.pgm (10318, 1994-04-18)
fisherprotected\s1\9.pgm (10318, 1994-04-18)
fisherprotected\s2\1.pgm (10318, 1994-04-18)
fisherprotected\s2\10.pgm (10318, 1994-04-18)
fisherprotected\s2\2.pgm (10318, 1994-04-18)
fisherprotected\s2\3.pgm (10318, 1994-04-18)
fisherprotected\s2\4.pgm (10318, 1994-04-18)
fisherprotected\s2\5.pgm (10318, 1994-04-18)
fisherprotected\s2\6.pgm (10318, 1994-04-18)
fisherprotected\s2\7.pgm (10318, 1994-04-18)
fisherprotected\s2\8.pgm (10318, 1994-04-18)
fisherprotected\s2\9.pgm (10318, 1994-04-18)
fisherprotected\s3\1.pgm (10318, 1994-04-18)
fisherprotected\s3\10.pgm (10318, 1994-04-18)
fisherprotected\s3\2.pgm (10318, 1994-04-18)
fisherprotected\s3\3.pgm (10318, 1994-04-18)
fisherprotected\s3\4.pgm (10318, 1994-04-18)
fisherprotected\s3\5.pgm (10318, 1994-04-18)
fisherprotected\s3\6.pgm (10318, 1994-04-18)
fisherprotected\s3\7.pgm (10318, 1994-04-18)
fisherprotected\s3\8.pgm (10318, 1994-04-18)
fisherprotected\s3\9.pgm (10318, 1994-04-18)
fisherprotected\sourcecode.m (791, 2006-01-30)
fisherprotected\s1 (0, 2006-01-30)
fisherprotected\s2 (0, 2006-01-30)
fisherprotected\s3 (0, 2006-01-30)
fisherprotected (0, 2009-10-06)
FISHERFACES FOR FACE RECOGNITION
Copy all files in Matlab current directory and type "fisherfaces" on
Matlab command window.
First, select an input image clicking on "Select image".
Then you can
- add this image to database (click on "Add selected image to database"
- perform face recognition (click on "Face Recognition" button)
Note: If you want to perform face recognition database has to include
at least one image.
If you choose to add image to database, a positive integer (face ID) is
required. This posivive integer is a progressive number which identifies
a person (each person corresponds to a class).
For example:
- run the GUI (type "fisherfaces" on Matlab command window)
- delete database (click on "Delete Database")
- add "mike1.jpg" to database ---> the ID has to be 1 since Mike is the first
person you are adding to database
- add "mike2.jpg" to database ---> the ID has to be 1 since you have already
added a Mike's image to database
- add "paul1.jpg" to database ---> the ID has to be 2 since Paul is the second person
you are adding to database
- add "cindy1.jpg" to database ---> the ID has to be 3 since Cindy is
the third person you are adding to database
- add "paul2.jpg" to database ---> the ID has to be 2 once again since
you have already added Paul to database
... and so on! Very simple, isnt't? :)
The recognition gives as results the ID of nearest person present in
database. For example if you select image "paul3.jpg" the ID given SHOULD
be 2: "it should be" because errors are possible. Input images are automatically
resized if they are too big, in order to avoid any memory error.
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