[Bf-committers] GSOC 2013 Proposal

Gavin Howard gavin.d.howard at gmail.com
Fri Apr 12 07:35:25 CEST 2013


     Siddhartha,

     Personally, I think some of those ideas may have some potential.
However, I am not one of the developers, so I can't speak for them. If it
turns out that they feel that these projects would not benefit Blender as
much as they hope, I would suggest that you apply to work for the Open
Source Computer Vision project. That might fit your field better, and you
might have more fun. As a fellow GSoC student. I hope this helps. And
regardless of what happens, welcome to Blender!

     God Bless,
     Gavin H.
On Apr 11, 2013 9:25 PM, "Siddharth" <siddharthkherada27 at gmail.com> wrote:

> Hi,
>
> I am currently pursuing MS by Research in the field of computer vision and
> image processing at IIIT- Hyderabad, India. I am interested in working for
> Blender organization this summer in a GSoC project.
>
>
> Some of my own ideas:
>
> a) *Interactive Poisson Image Blending*
>
> Image editing tasks concern either global changes (color/intensity
> corrections, filters, deformations) or local changes concerned to a
> selection. Here we are interested in achieving local changes, ones that are
> restricted to a region manually selected (ROI), in a seamless and
> effortless manner. The extent of the changes ranges from slight distortions
> to complete replacement by novel content. Examples:Inserting objects, Color
> Transfer, Feature Exchange, Texture Flattening, Local illumination changes,
> etc.
>
>
> http://cs.engr.uky.edu/~jacobs/classes/2010_photo/readings/PoissonImageEditing.pdf
>
> b) *Color2Gray*
>
> Visually important image features often disappear when color images are
> converted to grayscale. This algorithm reduces such losses by attempting to
> preserve the salient features of the color image. The Color2Gray results
> offer viewers salient information missing from previous grayscale image
> creation methods.
>
> http://www.cse.cuhk.edu.hk/~leojia/papers/decolorization_iccp12.pdf
>
> c) *Domain Transform for Edge-Aware Image Processing
> (Non-Photorealistic Animation and Rendering)*
>
> The processing involves high-quality edge-preserving filtering of images
> (better than bilateral filter). The filter is applied on several image
> processing tasks including edge-preserving smoothing, Depth-of-field
> effects, stylization, detail enhancement, edge enhancement and pencil/color
> pencil sketch.
>
>
> http://www.inf.ufrgs.br/~eslgastal/DomainTransform/Gastal_Oliveira_SIGGRAPH2011_Domain_Transform.pdf
>
> What are your views about this?
>
> Best Regards,
> Siddharth
>
> --
> Live as if you were to die tomorrow. Learn as if you were to live forever -
> M K Gandhi
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