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Facial Feature Points Extraction
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Duy Trinh (Mr.)  
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 More options Jun 11, 6:56 pm
From: "Duy Trinh (Mr.)" <vietd...@gmail.com>
Date: Fri, 12 Jun 2009 05:56:49 +0700
Local: Thurs, Jun 11 2009 6:56 pm
Subject: Facial Feature Points Extraction

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


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Anouar  
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 More options Jun 14, 10:25 am
From: Anouar <me.ano...@gmail.com>
Date: Sun, 14 Jun 2009 16:25:09 +0200
Local: Sun, Jun 14 2009 10:25 am
Subject: Re: Facial Feature Points Extraction

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:


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Kaushik ananth  
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 More options Jun 14, 12:16 pm
From: Kaushik ananth <supergravity...@gmail.com>
Date: Sun, 14 Jun 2009 21:46:44 +0530
Local: Sun, Jun 14 2009 12:16 pm
Subject: Re: Facial Feature Points Extraction

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

--
Good Luck
Kaushik

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Duy Trinh (Mr.)  
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 More options Jun 14, 12:26 pm
From: "Duy Trinh (Mr.)" <vietd...@gmail.com>
Date: Sun, 14 Jun 2009 23:26:33 +0700
Local: Sun, Jun 14 2009 12:26 pm
Subject: Re: Facial Feature Points Extraction

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:


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Kaushik ananth  
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 More options Jun 14, 11:35 pm
From: Kaushik ananth <supergravity...@gmail.com>
Date: Mon, 15 Jun 2009 09:05:13 +0530
Local: Sun, Jun 14 2009 11:35 pm
Subject: Re: Facial Feature Points Extraction

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:

--
Good Luck
Kaushik

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sabrina  
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 More options Jun 19, 3:41 am
From: sabrina <hhui...@gmail.com>
Date: Fri, 19 Jun 2009 00:41:33 -0700 (PDT)
Local: Fri, Jun 19 2009 3:41 am
Subject: Re: Facial Feature Points Extraction
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:


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Duy Trinh (Mr.)  
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 More options Jun 27, 3:31 am
From: "Duy Trinh (Mr.)" <vietd...@gmail.com>
Date: Sat, 27 Jun 2009 14:31:27 +0700
Local: Sat, Jun 27 2009 3:31 am
Subject: Re: Facial Feature Points Extraction

Hi all,

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


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