[Digikam-devel] GSoC Introduction: Aniket Handa

[Ananta Palani]

Hi Aniket,

I think you could consider it, but be sure to read papers by other authors
to see if the method is actually as good as the authors describe. Original
authors of a method often show their method to be better than the
competition (otherwise they wouldn't publish!), but if another author
extends a given method, or does a review of all available methods, you can
often discover whether the original claims are justified (you can usually
find reviews / extensions by looking at articles that cite the original
paper).

>From what I remember laplacianfaces is a good algorithm, but is sometimes
inconsistent in its quality. There is also a 2d-laplacianfaces that
performs even better, I believe. I can find the paper if you are interested.

Also, compare the computation time between fisherfaces and laplacianfaces
to help you decide which to implement.

There's also no reason you couldn't implement both methods, if you had time!

Best,
-Ananta

On Fri, Mar 23, 2012 at 9:58 PM, Aniket Handa <atneik at gmail.com> wrote:

> Hi all!
>
> Should we consider LaplacianFaces for face recognition, because some
> papers[1] suggest it gives less false positives as compared to
> Fisherface/LDA and PCA. Or are we fine with FisherFace?
>
> Regards,
> Aniket
>
> Attached:
> [1] Xiaofei He;   Shuicheng Yan;   Yuxiao Hu;   Niyogi, P.;
> Hong-Jiang Zhang: "Face recognition using Laplacianfaces" in Pattern
> Analysis and Machine Intelligence, IEEE Transactions, March 2005
>
>
> On Mon, Mar 19, 2012 at 10:42 PM, Ananta Palani <anantapalani at gmail.com>
> wrote:
> > I don't remember any off-hand, but I do remember they involved haar
> wavelets
> > and Gabor transforms. Also, I don't think they are very accurate without
> > video input, but perhaps once sufficient images are tagged as belonging
> to a
> > given individual, it may be possible for the algorithm to determine the
> > expression much easier.
> >
> > -Ananta
> >
> >
> > On Mon, Mar 19, 2012 at 3:28 PM, Francesco Riosa <francesco at pnpitalia.it
> >
> > wrote:
> >>
> >>
> >> Out of interest, do you know of algorithms able to extract facial
> >> expressions #1 ?
> >>
> >> #1 http://en.wikipedia.org/wiki/Facial_Action_Coding_System
> >>
> >> Il 17/03/2012 18:12, Ananta Palani ha scritto:
> >>>
> >>> 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
> >>> <mailto: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
> >
>
>
>
> --
> Aniket Handa
> Site: http://atneik.com
>
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>
>
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