[Bf-committers] GSOC 2013 Proposal

[Ton Roosendaal]

Hi,

You better add early, there's still time then to get feedback there after the deadline too.

Try to write in the proposal how (and where) this would be integrated in Blender, and what the use cases are related to our toolset.

-Ton-

------------------------------------------------------------------------
Ton Roosendaal  Blender Foundation   ton at blender.org    www.blender.org
Blender Institute   Entrepotdok 57A  1018AD Amsterdam   The Netherlands

On 2 May, 2013, at 12:55, Siddharth wrote:

> Should I go ahead and submit the application?
> 
> Best Regards,
> Siddharth
> 
> 
> On Wed, Apr 17, 2013 at 6:42 PM, Xavier Thomas <xavier.thomas.1980 at gmail.com
>> wrote:
> 
>> A good starting  place for poisson based image manipulation in Blender
>> would be the Inpaint node.
>> 
>> 
>> 2013/4/15 Ton Roosendaal <ton at blender.org>
>> 
>>> Hi Siddharth,
>>> 
>>> All three proposals are very cool, but quite more suitable for GIMP than
>>> for Blender. For GIMP such filters can well live locally as a plugin. In
>>> Blender it means to think in the context of tools and usablity. Where
>> would
>>> you add this, and how then have users interact?
>>> 
>>> -Ton-
>>> 
>>> ------------------------------------------------------------------------
>>> Ton Roosendaal  Blender Foundation   ton at blender.org    www.blender.org
>>> Blender Institute   Entrepotdok 57A  1018AD Amsterdam   The Netherlands
>>> 
>>> On 12 Apr, 2013, at 5:25, Siddharth 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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> 
> 
> 
> -- 
> Live as if you were to die tomorrow. Learn as if you were to live forever -
> M K Gandhi
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