Face Recognition Algorithms in OpenCV

[Dairu]

Hi,

I am new to the world of Computer Vision as well as to OpenCV library.
I just wanted to ask what are the various face recognition algorithms
that has been implemented in OpenCV. I intend to use Open CV 2.4 with
Python 2.7.x.

[Alireza Sepas-Moghaddam]

Hi Dairu,

 

You could find useful information in the following link:

 

http://face-rec.org/source-codes/

 

Best regards,

Alireza

 

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[sahil shah]

Hi,
I had implemenetd face recognition algorithm in my 8 sem on open
cv,the algorithm goes like this
as image is matirx,and we have 2 iamges,hence calculate the
co-relation coefficiect bewteen the two matrix and set a threshhole
value,my threshold value was 0.99 to 0.98 ,if the co-relation
coefficient is between the threshold the image would match as
co-relation coefficent gives the degree of relation between two matrix
and images are indeeed matrix.
Best thing is that the coding wont take much time .

You can apply thesholding or image improvement on the images which
would enhance the images there by provide good co-relation coeefiect

Thanks and Regards,
arpit joshi
TATA CONSULTANCY SERVICES
MUMBAI.

[Dairu]

Hi Sahil/Arpit,
Sorry for the confusion as the name of the author is different in
header and footer. :D

I have to develop an image assessment portal in which a webcam will
click pics after a fixed period of time and the portal will recognize
the person in the image.
Though your algorithm is very much subtle and easy-going but wouldnt
complexity and efficiency be affected in real-time analysis? It is
very good though. Will it give satisfactory results if I use your
method on a commercial scale?
Is your method as effective as PCA or LDA?

And I basically wanted to ask what are the algorithms other than PCA
and LDA which are implemented in OpenCV library?
Alternatively, is PCA or LDA efficient enough to be used in real-time
analysis?

[sahil shah]

We had implemented the same,we captured pics from webcam and then
matched the same iwth our database and it gave good results.But before
recognition we perfornmed face normalization and then image
enhancement technioeuq and them we applied recognition