face recognition API

i''m writing a simple non-commercial application to demonstrate face recognition and face detection as part of a school project.
i've accomplished d face detection part using OPENCV and opencvdotnet.
i'm left with the RECOGNITION part
Is there a free or non-expensive API or free code  that i can call/use in my c# program to accomplish this.
i'v written some image manipulation part but i dont av d time or skill to convert FACE recognition algorithms to code.

I've tried Verilook (neorotechnology.com). but its expensive.

i run Visual Studio 2005, sql server 2005 on a Windows XP SP2. 2GB RAM and 1.86GHz.

any help needed, i have a deadline - friday
LopsyAsked:
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xoperatorCommented:
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xoperatorCommented:
Please write down if you need anything else.

Thanks !
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LopsyAuthor Commented:
Like i mentioned in my post i already accomplished face detection using OPENCV

I'm trying to do face RECOGNITION now.

Thanks
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KendorCommented:
You might go with the method of principal component analysis PCA (i.e. hotelling transform) to do the recognition.
Basic steps:
1. calculate the c matrix
2. calculate eigenvectors
3. look for closest match

a short googling got me this:
http://www.cs.washington.edu/homes/rahul/data/reportPCA.pdf

good luck!
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KendorCommented:
here's a little snippet how I did it in Matlab: ( i have a "database"  of face templates for recognition which in which i look for a face; this database X is of size 10304 x 40, each row represents one face image of size 112x92px):


load X
[n,m] = size(X);

%demo: 
face1 = reshape(X(1,:),112,92);
figure, imshow(face1, []); title('Face 1 in database');

% - meanface
mx = sum(X).*1/n;           

% principal component calculation
[coeff,score,latent] = princomp(X, 'econ'); 

% load the face that i don't know to whom in the database it belongs...
mistery = double(imread('unknown.pgm'));

% - make it a vector
mistery = double(reshape(mistery,[1,m]));  

% - project to the same eigenspace
mry = coeff'*(mistery-mx)';                 

% - calculate all euclidean distances to the faces in db
dist = zeros(n-1,1);
for i = 1:(n-1)
    dist(i) = norm((score(i,:)-mry'));
end

% - get best match / closest face
[v, i] = min(dist)      
       
% - prepare best match for output     
faceX = reshape(X(i,:),112,92);     

% - plot the found match of the databse 
subplot(133), imshow(faceX,[]); title('database');

Open in new window

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LopsyAuthor Commented:
many thanks Kendor,
i mentioned in my post that i'm not skillfull enough in programming to tranlate those PCA / Eigen algorithms to code.
 and i'm also not using matlab. i write c# and vb.net.
but all the same , i'll try and make something out of what u've posted.
Thanks
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KendorCommented:
... welcome. For me google found this site: http://crsouza.blogspot.com/2009/09/principal-component-analysis-in-c.html maybe you can take some of the code and tinker something. Let me know if you need more help and how you resolved the problem in the end...
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jacob_miwCommented:
Hello,

You should take a look at the Active Appearance Models (AAM) and the AAM-API. It is precompiled C++ implementations of various Face-related algorithms:

http://www2.imm.dtu.dk/~aam/
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LopsyAuthor Commented:
@Kendor I'm still looking at the PCA code..can't seem to get what i need.
i ran out of time to submt the project and i had to use the 30-day TRIAL version of Verilook...just referenced a few dlls and i was recognising faces from files and video streams.

i still want a solution.
thanks all
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LopsyAuthor Commented:
Hello All,
I've not found a solution but i've gone round the problem by using Verilook API from neutotechnology.com.

Thanks All.
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