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What is the best possible runtime for extracting SIFT keypoints and Descriptors?
I know it depends on #keypoints extracted. So, say for image of size 640x640, the code that I have been using requires around 3 seconds for description of ~2000 keypoints.

What is the best runtime achieved and how (on similar grounds)? How can I make it run in realtime?
Is hadoop with 100 clusters a solution?

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SIFT implemented on a GPU can run in realtime!

http://cs.unc.edu/~ccwu/siftgpu/

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    $\begingroup$ What is the best runtime we can get for ~2000 keypoints on ~2.2GHz and RAM of 4GB? I have been using C++ code by Andrew Vedaldi and it takes around 3.5s for 2000 keypoints. Is there any implementation which does this within 1s with above configuration? $\endgroup$ – object recognition Jun 19 '14 at 6:22

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