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Reply-To: "Nasser Abbasi" <nma@12000.org>
From: "Nasser Abbasi" <nma@12000.org>
Newsgroups: comp.soft-sys.matlab
References: <ffb3c486-32aa-45dc-8157-1c2b27e8b991@s31g2000vbp.googlegroups.com> <ac50e2c9-af38-429f-b802-b1dce77aec25@v4g2000vba.googlegroups.com> <aFmPl.15718$jZ1.2434@flpi144.ffdc.sbc.com> <guktq2$jf6$1@fred.mathworks.com>
Subject: Re: facial features extraction
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Date: Fri, 15 May 2009 16:36:56 -0700
Xref: news.mathworks.com comp.soft-sys.matlab:540373



"omar " <ouzizo@gmail.com> wrote in message 
news:guktq2$jf6$1@fred.mathworks.com...
> "Nasser Abbasi" <nma@12000.org> wrote in message 
> <aFmPl.15718$jZ1.2434@flpi144.ffdc.sbc.com>...
>>
>> <ouzizo@gmail.com> wrote in message
>> news:ac50e2c9-af38-429f-b802-b1dce77aec25@v4g2000vba.googlegroups.com...
>> > guys i forgot to note that i am using matlab for the project so please
>> > i want to know the method or whatever it is using matlab.
>> > thanks in advance
>>
>> It sounds like you need to look at Principal components analysis ?
>>
>> doc  princomp
>>
>> google matlab Principal components analysis  you'll find source code and 
>> web
>> pages on this
>>
>> --Nasser
>>
>

> i googled matlab Principal components analysis and i didnt know what has 
> this to do with face feature extraction. i have an image and i want to 
> extract some features from the image.

Well,  The SECOND link shown under the above search is page full of matlab 
code for face feature extraction:

http://www.cs.ait.ac.th/~mdailey/matlab/

If you just have ONE face, then this might not apply to your problem.

PCA is used if one has many images, and want to extract the most common or 
prominant features of all the faces.

It sounds then may be you need to apply edge detection or something similar.

good luck

--Nasser