[Digikam-devel] GSoC Introduction: Aniket Handa

[Ananta Palani]

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