Assuming you aren't deploying commercially (or have a license for UBC's patent
on SIFT), I've had good success with sift++:
http://www.vlfeat.org/~vedaldi/code/siftpp.html
On 2011-10-10, at 21:02, Victor Oliveira <[email protected]> wrote:
> Hello guys, I've been working with content-based image retrieval and I want
> to use some visual descriptors in my thesis. Does any of you know some
> open-source implementation of these algorithms? I mean, something I could use
> in Python (with scikits.learn) or even C code which I could create a binding
> effortlessly.
>
> http://en.wikipedia.org/wiki/Visual_descriptors
> ------------------------------------------------------------------------------
> All the data continuously generated in your IT infrastructure contains a
> definitive record of customers, application performance, security
> threats, fraudulent activity and more. Splunk takes this data and makes
> sense of it. Business sense. IT sense. Common sense.
> http://p.sf.net/sfu/splunk-d2d-oct
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------------------------------------------------------------------------------
All the data continuously generated in your IT infrastructure contains a
definitive record of customers, application performance, security
threats, fraudulent activity and more. Splunk takes this data and makes
sense of it. Business sense. IT sense. Common sense.
http://p.sf.net/sfu/splunk-d2d-oct
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