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Face Detection using Support Vector Machine (SVM)

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Face Detection using Support Vector Machine (SVM)

by Omid Sakhi

 

26 Dec 2010 (Updated 06 Jan 2011)

Face Detection using Gabor feature extraction and support vector machines (SVMs)

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Description

This program is the clone of 'Face Detection System' in MATLAB
but instead of Neural Networks, It is based on Support Vector Machine (SVM)

Face Detection System (Neural Network)
http://www.mathworks.com/matlabcentral/fileexchange/11073-face-detection-system

    1- copy all files and directories to the MATLAB's work folder
     * In order to run the program you must have Image Processing and Neural Networks Toolboxes

    2- find the file named "main.m"

    3- Double click on this file or type "main" in the command window

    4- a menu will be shown . click on "Create SVM" and wait until the program is done with the training.

    5- click on "Test on Photos". A dialog box will be appeared. Select a .jpg photo

    6- Wait until the program detects some faces

For more information please visit the website. Thank you.
http://www.facedetectioncode.com
Required Products Image Processing Toolbox
Neural Network Toolbox
MATLAB release MATLAB 7.1.0 (R14SP3)
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Comments and Ratings (9)
14 Mar 2013 Natalie Luu

Great code! Quick question, can we train the code to detect more faces, by adding more sample faces in the face folder? I would like to have the code detect the face when the person only shows one side of his/her face. Thank you
14 Mar 2013 Natalie Luu

Great code! Quick question, can we train the code to detect more faces, by adding more sample faces in the face folder? I would like to have the code detect the face when the person only shows one side of his/her face.

Thank you
13 Jul 2012 Ansuman Mahapatra

Thanks a lot for the code...It's showing some error in svmtrain function. Can you please check? I have the bioinformatic tool box. It's showing error in parameter passing to svmtrain().
Thanks anyway I am studying svm now, may be able to solve this problem later.
Thanks.
10 Feb 2012 Caelyn Low

great job, but i not very understand with the imscan.m file code (first section, second section and third section). Is there any pdf file or source that can provide so that i can more understand about the coding? thanks.

01 Nov 2011 Chen yuan

After the face_folder and non_face_folder variables modified to the right directory, programme works well, thanks for sharing.
06 May 2011 Unknow Artiste

Hello Omid, Thank's a lot for this work, it's perfect, but i have a problem on it, when i want to change the database, i want to use the X2MVTS database, it don't work, do you have any idea why ?!

PS: your script work only for 27x18 images ?!!

Thx again
06 Apr 2011 Omid Sakhi

Hey Steve! Thank you for your comment. Unfortunately svmclassify and svmtrain functions are part of the Bioinformatic toolbox. So if you do not have that toolbox, there is no way to run this program. Sorry ...
13 Mar 2011 Steve

Hi Omid, thank you for taking the time to upload your code. However, I am unable to get it working... When I click the 'Create SVM' button I get the following error...

??? Undefined function or method 'svmtrain' for input arguments of type 'struct'.

Error in ==> trainnet at 18
net =
svmtrain(P',T','Kernel_Function','linear','Polyorder',2,'quadprog_opts',options);

Error in ==> main at 32
net = trainnet(IMGDB);

(fyi, I am using matlab ver 7.10.0)

Thank you in advance, I would like to try out your code if you can help me get it working
06 Jan 2011 Mark

Great stuff! However when it comes to place the rectangles over the faces I get the following error:

??? Undefined function or variable 'Threshold'.

Error in ==> imscan at 74
xy_ = Cell.net > Threshold;

(as the 'Threshold' variable is not defined anywhere). What should it be set to?
Updates
06 Jan 2011

fix: The Threshold in imscan.m is replaced with 0.

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