Image Feature Suggestion

[Ronnie Ghose]

So first off is there a sort of to-do list? Secondly, should scikit-image
be used in conjunction with OpenCV? I thought in general it would be
standalone like a few of the other scikits or numpy/scipy (standalone in
the sense of only using other python libraries as dependencies).


On Thu, Apr 18, 2013 at 12:50 PM, Zachary Pincus <zachary.pincus at yale.edu>wrote:

> > Would this be a useful thing to add then? I thought it was interesting
> you made references to OpenCV rather then internal options.
>
> Yeah, but no need to reinvent the wheel. OpenCV is really focused on
> algorithms for cameras-moving-around-in-the-world, which big chunks of your
> problem are. So if you want to port some of that code over to skimage, that
> would be a cool and useful contribution! But if you just wanted to solve
> your problem ASAP, then OpenCV might be your best resource...
>
> Zach
>
> PS. Fun story: a while ago I got a sparse optical-flow algorithm (using
> cross-correlation) running on a GPU. It was totally non-portable (pre-CUDA,
> custom-shader code), and it didn't actually work precisely right, but I
> think that it's something that shouldn't be too much trouble to actually
> make happen these days...
>
>
> > On Thu, Apr 18, 2013 at 8:19 AM, Stéfan van der Walt <stefan at sun.ac.za>
> wrote:
> > On Wed, Apr 17, 2013 at 11:16 PM, Zachary Pincus
> > <zachary.pincus at yale.edu> wrote:
> > > Identifying features to track between frames is a pretty classic task
> in computer vision. Things that come to mind would include the simple
> Harris corner detector (in skimage), or more recent things like SIFT
> features and its variants like SURF etc. (DAISY is in skimage) might be of
> use. All of these tools should be in OpenCV too, IIRC. (Time to spend a
> while on wikipedia reading about these things and related, if it's all
> totally unfamiliar.)
> >
> > Having binary features (there are many) and Star Features (also known
> > as "Consensus") in skimage would be very valuable.
> >
> > > Alternately, you could try optical flow based techniques to densely
> track local pixel patches between frames.
> >
> > That's also a fun application, and a good way to learn Cython!
> >
> > Stéfan
> >
> > --
> > You received this message because you are subscribed to the Google
> Groups "scikit-image" group.
> > To unsubscribe from this group and stop receiving emails from it, send
> an email to scikit-image+unsubscribe at googlegroups.com.
> > For more options, visit https://groups.google.com/groups/opt_out.
> >
> >
> >
> >
> > --
> > You received this message because you are subscribed to the Google
> Groups "scikit-image" group.
> > To unsubscribe from this group and stop receiving emails from it, send
> an email to scikit-image+unsubscribe at googlegroups.com.
> > For more options, visit https://groups.google.com/groups/opt_out.
> >
> >
>
> --
> You received this message because you are subscribed to the Google Groups
> "scikit-image" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to scikit-image+unsubscribe at googlegroups.com.
> For more options, visit https://groups.google.com/groups/opt_out.
>
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20130418/749a4439/attachment.html>