hi,
I am a student pursuing B.Tech 4th year from Indian Institute of Information Technology- Allahabad, India.
I
am keen to get involved in open source project development. I have seen
on KDE website the project ideas for GSoC 2010. I would like to work on
Face Recognition Project. I took this project because I have worked on
the hand gesture recognition using OpenCV and am currently working on
the same area. You can have a look at
my last semester project demohere. I am having good knowledge of C++, Qt and the
classification algorithms.
I would like to know some more details of the project.
I would be happy to know answers to these following questions.
1.
what classification algorithm is to be refined for face detection part.
OpenCV provides Haar Classifier using Ada boost learning and it works
with almost 99% accuracy. Is it the same algorithm that is to be
refined or something else?
2. If it is Haar classifier to be refined. In which part it is to be refined haartraining utility or haar detection part ?
Hoping for a positive reply from you as soon as possible.
Thanks
Naresh Reddy S.
IIIT-Allahabad
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