[Digikam-devel] GPU Implementation of image processing algorithms

[Aditya Bhatt]

Hi Kunal,

There was a slight error in your interpretation of their method :

( from the italicized text ) So many pose varied images of a person are
> readily available in a face database as FERET but difficult
> to get in a Personal Photo album. ( Usage of the system overtime will
> increase recognition results but users may not continue
> using the system for that long ! )
>
>

They actually use the FERET database to train the coefficients for the
reconstruction of the profile/side face into a frontal face. Later, those
same coefficients can be used to map a *non-FERET* profile face to it's
virtual frontal equivalent. Therefore, I, as a developer, can generate these
coefficients using FERET's huge database, and then ship bundle a file with
libface containing the values, for end-users to use :)

There is a very nice paper ( admittedly better-framed than the one I showed
you ), that explains how GLR (Global Linear Regression) can be applied to
predict the frontal face from the profile view :
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.93.8750&rep=rep1&type=pdf

In fact, the authors of this paper go one step further and explain LLR, or
Local Linear Regression, which applies the above GLR algorithm to localized
"patches" of a face to achieve much finer accuracy in rotation.

So as I see it, this method is well-suited for the problem at hand

-- 
> regards
> -------
> Kunal Ghosh
> Dept of Computer Sc. & Engineering.
> Sir MVIT
> Bangalore,India
>
> Quote:
> "Ignorance is not a sin, the persistence of ignorance is"
> --
> "If you find a task difficult today, you'll find it difficult 10yrs later
> too !"
> -----
> "Failing to Plan is Planning to Fail"
>
> Blog:kunalghosh.wordpress.com
> Website:www.kunalghosh.net46.net
> V-card:http://tinyurl.com/86qjyk
>
>
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>

Cheers,
-- 
Aditya Bhatt
Blog : http://adityabhatt.wordpress.com
Face Recognition Library : http://libface.sourceforge.net
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