Facial Feature Points Extraction

[Duy Trinh (Mr.)]

Hi all,

I am researching about extracting facial feature points.
i refer to 2 articles:

 [1]          Stefano Arca, Paola Campadelli, Raffaella Lanzarotti (2005), “A face recognition system based on automatically determined facial fiducial points”, Pattern Recognition Journal. [pdf]

[2]          Danijela Vukadinovic and Maja Pantic, “Fully Automatic Facial Feature Point Detection Using Gabor Feature Based Boosted Classifiers”, IEEE International Conference on Systems, 2005. [pdf]

Because some people suggested that i should use Adaboost (use OpenCV) to detect face and use Gabor algorithm to extract feature points. Any one can share information (paper and code) more about Gabor? I only understand it little.

Thanks too much.

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Trịnh Đình Duy (Mr.)
My nick: vietdoor in all IMs as Skype, Yahoo, MSN, GTalk, AOL
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[Anouar]

you can try to start by the method used for the Elastic graph matching,  you can look to the csu programs, there are some approaches for extracting the landmarks.
http://www.cs.colostate.edu/evalfacerec/

[Kaushik ananth]

You can use active shape model or active appearance model for extracting the facial points

--
Good Luck
Kaushik

[Duy Trinh (Mr.)]

In article [2], they said that ASM can't extract 20 facial points well and high accuracy.

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Trịnh Đình Duy (Mr.)
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[Kaushik ananth]

Choose your points close enough so that the we are able to get the shape of the face accurately. After completing the iterations we can extract the face alone. Then for face verification we can use Gabor+PCA or FLD 

--
Good Luck
Kaushik

[sabrina]

I suggest you use adaboost to select features with gabor. It's an
efficient method for high face recognization rate.
It can choose in both position(key point),gabor scale and oration. We
can higher performance and use less time.

On 6月15日, 上午11时35分, Kaushik ananth <supergravity...@gmail.com> wrote:
> Choose your points close enough so that the we are able to get the shape of
> the face accurately. After completing the iterations we can extract the face
> alone. Then for face verification we can use Gabor+PCA or FLD
>

> On Sun, Jun 14, 2009 at 9:56 PM, Duy Trinh (Mr.) <vietd...@gmail.com> wrote:
>
>
>
>
>
> > In article [2], they said that ASM can't extract 20 facial points well and
> > high accuracy.
> > --------------------
> > Trịnh Đình Duy (Mr.)
> > My nick: vietdoor in all IMs as Skype, Yahoo, MSN, GTalk, AOL
> > My CardVisit:http://sites.google.com/site/vietdoor/Home/cardvisit
>
> > On Sun, Jun 14, 2009 at 11:16 PM, Kaushik ananth <
> > supergravity...@gmail.com> wrote:
>
> >> You can use active shape model or active appearance model for extracting
> >> the facial points
>

> >> On Sun, Jun 14, 2009 at 7:55 PM, Anouar <me.ano...@gmail.com> wrote:
>
> >>> you can try to start by the method used for the Elastic graph matching,
> >>> you can look to the csu programs, there are some approaches for extracting
> >>> the landmarks.
> >>>http://www.cs.colostate.edu/evalfacerec/
>

> >>> On Fri, Jun 12, 2009 at 12:56 AM, Duy Trinh (Mr.) <vietd...@gmail.com>wrote:
>
> >>>> Hi all,
>
> >>>> I am researching about extracting facial feature points.
> >>>> i refer to 2 articles:
>
> >>>>  [1]          Stefano Arca, Paola Campadelli, Raffaella Lanzarotti
> >>>> (2005), “A face recognition system based on automatically determined facial

> >>>> fiducial points”, Pattern Recognition Journal. [pdf<http://eprints.pascal-network.org/archive/00000147/01/Pattern_Recogni...>
> >>>> ]

>
> >>>>  [2]          Danijela Vukadinovic and Maja Pantic, “Fully Automatic
> >>>> Facial Feature Point Detection Using Gabor Feature Based Boosted

> >>>> Classifiers”, *IEEE International Conference on Systems*, 2005. [pdf<http://www.doc.ic.ac.uk/%7Emaja/VukadinovicPantic-SMC05-FINAL.pdf>
> >>>> ]

>
> >>>> Because some people suggested that i should use Adaboost (use OpenCV) to
> >>>> detect face and use Gabor algorithm to extract feature points. Any one can
> >>>> share information (paper and code) more about Gabor? I only understand it
> >>>> little.
>
> >>>> Thanks too much.
>
> >>>> --------------------
> >>>> Trịnh Đình Duy (Mr.)
> >>>> My nick: vietdoor in all IMs as Skype, Yahoo, MSN, GTalk, AOL
> >>>> My CardVisit:http://sites.google.com/site/vietdoor/Home/cardvisit
>
> >> --
> >> Good Luck
> >> Kaushik
>
> --
> Good Luck

> Kaushik- 隐藏被引用文字 -
>
> - 显示引用的文字 -

[Duy Trinh (Mr.)]

Hi all,

Any one can download this paper below? Thanks for your help.
http://www.springerlink.com/content/tp11m727hp276j67/

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Trịnh Đình Duy (Mr.)
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