[Digikam-devel] GSoC Introduction: Aniket Handa

Aniket Handa atneik at gmail.com
Fri Mar 23 21:58:47 GMT 2012


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
>
>
>
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>



-- 
Aniket Handa
Site: http://atneik.com
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