GSoC 2013 Proposal : Implementation of STAR and Binary Feature Detectors and Descriptors

[Ankit Agrawal]

Hi everyone,

       I have made the first draft of my proposal<https://github.com/scikit-image/scikit-image/wiki/GSoC-2013-Ankit-Agrawal-Implementation-of-STAR-and-Binary-Feature-Detectors-and-Descriptors>and uploaded it on our github wiki. I would like all the mentors and 
community members to review it and comment for any possible improvements 
and suggestions.

       I have some of personal comments on it :

1] I feel that implementing all the four features is slightly ambitious and 
implementing three of them would be the best. After skimming through 
papers, this is the order of difficulty in terms of implementation :
BRIEF < STAR < FREAK < BRISK(most difficult)

2] As mentioned in the BRISK paper<http://www.robots.ox.ac.uk/~vgg/rg/papers/brisk.pdf>, 
BRISK detector makes use of FAST detector<http://web.eecs.umich.edu/~silvio/teaching/EECS598_2010/slides/11_16_Hao.pdf>in the process. If it comes down to implementing 3 instead of 4 features, 
it would be best that I implement FAST as the 4th feature instead of BRISK, 
which would relax the timeline a bit and will give me more time for testing 
and optimizing.

       I suggest all members to review and share their opinions on it as 
soon as possible so that I can make the changes and upload it on 
gsoc-melange site. Thank you for your time.


Regards,
Ankit Agrawal,
Communication and Signal Processing,
IIT Bombay.
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