[Digikam-devel] GSoC Introduction: Aniket Handa

Gilles Caulier caulier.gilles at gmail.com
Sat Mar 17 17:42:58 GMT 2012


Marcel Wiesweg and Alex Jironkin are in charge to Face recognition
project. They can guide you in-deep...

Gilles Caulier

2012/3/17 Ananta Palani <anantapalani at gmail.com>:
> You're very welcome. I hope you will be able to work on this as it is a very
> widely requested feature (as you observed). I take it you meant to say
> "shouldn't" because being new to KDE won't be much of a problem. Once you
> get your build environment set up, the hard part will be implementing the
> algorithm. Retrieving image data is something done very frequently by
> digiKam components and whoever leads you will be able to direct you very
> well.
>
> Best,
> -Ananta
>
>
> On Sat, Mar 17, 2012 at 5:32 PM, Aniket Handa <atneik at gmail.com> wrote:
>>
>> Thanks a lot Ananta. Couldn't have got better links. I am used to
>> OpenCV and moreover currently bytefish seems to be working on LDA, so
>> gotta test that around. But I'm pretty much new to KDE, I suppose that
>> should be a problem.
>>
>> Cheers!
>> Aniket
>>
>> On Sat, Mar 17, 2012 at 10:42 PM, Ananta Palani <anantapalani at gmail.com>
>> wrote:
>> > 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
>> >> _______________________________________________
>> >> Digikam-devel mailing list
>> >> Digikam-devel at kde.org
>> >> https://mail.kde.org/mailman/listinfo/digikam-devel
>> >
>> >
>> >
>> > _______________________________________________
>> > Digikam-devel mailing list
>> > Digikam-devel at kde.org
>> > https://mail.kde.org/mailman/listinfo/digikam-devel
>> >
>> _______________________________________________
>> Digikam-devel mailing list
>> Digikam-devel at kde.org
>> https://mail.kde.org/mailman/listinfo/digikam-devel
>
>
>
> _______________________________________________
> Digikam-devel mailing list
> Digikam-devel at kde.org
> https://mail.kde.org/mailman/listinfo/digikam-devel
>



More information about the Digikam-devel mailing list