Generating a painting from a picture
Rishabh Raj
rishabhr123 at gmail.com
Mon Dec 15 03:22:11 EST 2014
I read a few publications on the subject. Processing an image per pixel to
generate a few effects seems to be straightforward.
But most of the literature is based on modelling brush strokes in paintings
which are modeled as cubic B spline curves [1]. Do we have support for
generating curves while processing an image?
[1] http://www.mrl.nyu.edu/publications/hertzmann-thesis/hertzmann-thesis-72dpi.pdf
- Section 3. Fast and Loose Painterly Image Processing
On Saturday, December 13, 2014 8:55:11 PM UTC+5:30, Emmanuelle Gouillart
wrote:
>
> Hi Rishabh,
>
> I don't think there is a generic enough algorithm that would do this
> (each artist has her/his own specific style, and a specific algorithm
> would have to be designed for every style I think).
>
> Nevertheless, some of the functions in skimage can be used for this
> purpose. For example,
> http://scikit-image.org/docs/dev/auto_examples/plot_ncut.html shows how
> to get a posterized, comics-like image.
>
> You can also find geometric transformations in skimage.transform, if you
> want to implement some distortion effect for example.
> (
> http://scikit-image.org/docs/dev/auto_examples/applications/plot_geometric.html)
>
>
> Hope you have fun with this project!
> Emmanuelle
>
> On Sat, Dec 13, 2014 at 07:16:54AM -0800, Rishabh Raj wrote:
> > Hey,
>
> > I'm working on a project in which the objective is to create a painting
> from a
> > picture taken with a normal camera. This painting could be an oil
> painting or
> > we could try and mimic some specific artist.
>
> > I understand this might not be achievable in a very good way by just
> image
> > processing itself but I'm curious about what is achievable with stroke
> and
> > simple pattern recognition for a base result.
>
> > Is there support in scikit-image along these lines? Any other inputs are
> > welcome.
>
> > Best,
> > Rishabh
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20141215/6fa3de0c/attachment.html>
More information about the scikit-image
mailing list