[Digikam-devel] GSoC Introduction: Aniket Handa

[Ananta Palani]

Hi Aniket,

I'm not in charge of this particular area of digiKam, but here are some
links you can start looking into to get familiar with using OpenCV and
performing facial recognition, as well as descriptions and papers for
various algorithms. The current algorithm (eigenfaces) used in digiKam
would not be very good with real-world images (even if it worked properly).
One of the best (if not the best) algorithm available would be the
Fisherfaces or Linear Discriminant Analysis (LDA) method. You can read a
nice summary and analysis here:

   http://www.bytefish.de/blog/fisherfaces

Here are some good summaries of various algorithms that are available for
further comparison:

   http://opencv.willowgarage.com/wiki/FaceRecognition
   http://www.face-rec.org/algorithms/

I believe you have to apply and be accepted to the GSoC program before you
can actually be work on GSoC projects, but someone else will probably
contact you about that (or info might be on the GSoC website?).

Best,
-Ananta


On Sat, Mar 17, 2012 at 2:48 PM, Aniket Handa <atneik at gmail.com> wrote:

> Hello there,
>
> My name is Aniket Handa, currently enrolled in Jaypee Institute of
> Information Technology, Noida, INDIA pursing B.Tech-M.Tech Dual
> program in Computer Science & Engineering. My interests range from
> Computer Vision, Computer Graphics to developing Android Apps. I am a
> firm believer of FOSS.
>
> I am particularly interested in "Facial Recognition" partially due to
> its high demand (Bug 271679: 492 votes) and partially due to my
> interests in vision. I saw that this Idea was also in GSoC 2010, so
> that puts up questions like: was it taken by some student? If so, were
> there some problems?
>
> I am currently looking more about the project and will get back to you
> soon. Looking forward for being a valuable part of the community.
>
> Regards,
> Aniket
> _______________________________________________
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> Digikam-devel at kde.org
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>
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