I'm trying to compare the SIFT implementation of [OpenCV](http://docs.opencv.org/3.1.0/da/df5/tutorial_py_sift_intro.html) and [VLFeat](http://www.vlfeat.org/overview/sift.html).
I noticed that the descriptors value for VLFeat are integers, such as:
> 0 0 0 0 0 0 0 0 0 0 0 17 45 20 26 0 1 ..
While for OpenCV:
> 0.0391555 0 0 0.0998274 0.235747 0 0 0.0276871 0.156622 ...
Notice that these are descriptors for 2 different images.
I have two questions:
1. Why they have two different values?
2. If I'm going to need the OpenCV representation for k-means using VLFeat (and then VLAD encoding) do I need to change these values?
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