guys i am doing a project on a face gender classification, one phase
of the project is detection some features in the face. I already have
the co-ordinates of the two eyes so i donot have to apply face
detection. please can any body help me to find a way to detect
features in the face such as two tips of the mouth, nose..etc???
PLEASE HELP
<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 Abbasi" <nma@12000.org> wrote in message <aFmPl.15718$jZ1.2434@flpi144.ffdc.sbc.com>...
>
> <ouzizo@gmail.com> wrote in message
> news:ac50e2c9-af38-429f-b802-b1dce77aec25@v4g2000vba.googlegroups.com...
> > guys i forgot to note that i am using matlab for the project so please
> > i want to know the method or whatever it is using matlab.
> > thanks in advance
>
> It sounds like you need to look at Principal components analysis ?
>
> doc princomp
>
> google matlab Principal components analysis you'll find source code and web
> pages on this
>
> --Nasser
>
i googled matlab Principal components analysis and i didnt know what has this to do with face feature extraction. i have an image and i want to extract some features from the image.
"omar " <ouzizo@gmail.com> wrote in message
news:guktq2$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:
Thanks Chris. I am trying to do something similar. I need extracted features for analysis in a database. However until now most of the algorithms I have tried have given less than satisfatory results. Do you have suggestions on how I can extract and segment just the eyes and lips?
Thanks
radhika
"Nasser Abbasi" <nma@12000.org> wrote in message <z0nPl.15719$jZ1.1919@flpi144.ffdc.sbc.com>...
>
> "omar " <ouzizo@gmail.com> wrote in message
> news:guktq2$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
>
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