GSoC: Photomontage and Panoram Stitching
Fedor Morozov
f-morozov at ya.ru
Tue Apr 30 02:26:26 EDT 2013
Hi.
Thank you for replying so soon.
>> Perhaps we could start with something simple
Sure, that is a good prototype, and, I think, it can be implemented in the
following couple of days.
Than I should choose some subset of possible improvements and turn it into
a full-fledged
project proposal with timeline and milestones to submit to Google.
>> Eventually, I am also interested in non-rigid registration,
registration of voxel data, etc.
Judging by the adjastent thread, 3d algorithms are highly desirable for
scikit-image,
so they should be at least kept in mind when designing the project.
As for the state of the art topics in general, it would be great to
continue GSoC as
a research project during the term.
вторник, 30 апреля 2013 г., 4:33:48 UTC+4 пользователь Stefan van der Walt
написал:
>
> Hi Fedor
>
> On Tue, Apr 30, 2013 at 12:54 AM, Fedor Morozov <f-mo... at ya.ru<javascript:>>
> wrote:
> > My name is Fedor Morozov and I am a 2nd year computer science student in
> > Moscow State University.
>
> Thanks for getting in touch!
>
> > What do you think about such project? I guess, it's rather ambitious,
> yet it
> > is diverse, interesting
> > and will keep me from slacking. If some of the mentioned ideas get
> separate
> > projects, they can be
> > adopted during summer.
>
> Nathan Faggian has done some work towards registration in pyimreg, and
> what we discovered is that it is fairly hard to come up with a good
> API. Perhaps you can have a look at that code and give us your
> feedback? Registration would be a very useful feature to have in
> skimage.
>
> Perhaps we could start with something simple: compare Harris features
> with a robust matching algorithm such as RANSAC to find alignment with
> a simple error measure (there is a PR for RANSAC by @ahojnnes). Once
> aligned, perform Laplacian or other blending. If that works, one can
> focus on adding other feature detectors, multi-resolution matching,
> different error measures, optimization based approaches, etc. There
> may be some code in https://github.com/stefanv/supreme that we can
> re-use, or we can simply start from scratch.
>
> Eventually, I am also interested in non-rigid registration,
> registration of voxel data, etc.
>
> Registration / blending is an immense topic that can very easily cover
> an entire GSoC.
>
> Stéfan
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20130429/e0d4bfc1/attachment.html>
More information about the scikit-image
mailing list