GSoC: Photomontage and Panoram Stitching

Fedor Morozov f-morozov at ya.ru
Thu May 2 19:32:52 EDT 2013


Hi.
Here is the proposal:
http://www.google-melange.com/gsoc/proposal/review/google/gsoc2013/fm/10001

вторник, 30 апреля 2013 г., 2:54:43 UTC+4 пользователь Fedor Morozov 
написал:
>
> Hello.
> My name is Fedor Morozov and I am a 2nd year computer science student in 
> Moscow State University.
>
> A few words about me:
> I specialize in computer vision and my recent projects include various 
> vision tasks: car numbers recognition,
> road signs classification and some small tasks to get a hands-on 
> experience with different techniques like SIFT, Hough transform etc.
> Last year I successfully participated in GSoC with an HDR imaging project, 
> recently I've been working on implementing some HDR
> algorithms on GPU for Photorealistic Rendering course.
>
> I usually use Matlab and C++ for imaging tasks, mostly because I am used 
> to them and it is stated in the task.
> Nevertheless, I often use Python for scripting tasks, programming contests 
> and children education,
> and it would be great for vision applications.
>
> About the project:
> There are some very interesting ideas in the proposed list, but most of 
> them are not big enough for gsoc.
> Since I believe that a project should be solid and complete, I would like 
> to add some of these tools to
> scikit-image and combine them to an image stitching framework, that can 
> serve as the main project goal,
> useful application and a showcase for the implemented features.
>
> Let us assume that there is a set of images, that we want to combine into 
> a panorama.
> First, we should extract local features (using STAR or other detector) and 
> use them to properly place the images
> by estimating the transform model using methods like RANSAC or by using 
> pyimreg.
> Then, graph-cut can be used to choose, where to cut, and the images can be 
> finally blended,
> using simple laplacian pyramid approach or gradien domain fusion, that is 
> akin to one of the coolest
> high dynamic range reduction algorithms.
>
> This pipeline requires feature detection, image registration and graph-cut 
> support.
>
> 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.
>
> I am sorry for writing so late, there were a few deadlines recently and I 
> couldn't find courage to write a proposal.
> Qualification pull request is coming soon.
>
> Thank you.

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