Image Editing (Flush Growth)

No, it is not centered on his face. While testing I merely set the circle's center at pixel 1000,1000 

My next task will be to work on user selection, which will help determine the circle's center point.

[EDIT 18 Nov]

it might be a bit hard to notice at first, but this video shows the red growing in an "O" form, leaving the middle of the circle un-reddened. These un-reddened inner circles will be placed at the user selection points (both eyes and the mouth), so that these areas are not reddened, as can be observed. 

[http://topics.dirwell.com/health/files/2010/03/Face-Flushing.jpg] 

Image Editing (pt 2)

With help from Joe Kider, we got swig and openCV up working together nicely.
I'm working on writing the code in C++ using openCV, then using swig to wrap it in python.
Look I can make a red circle!

Now to add falloff..

[EDIT: 9 Nov 2011]
OMG

blended with the texture map to give:

although it's blending the black as well, which is making the texture much darker..

[EDIT: 10 Nov 2011]

OOH YEAHH

and bloopers!

good reference: http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html

http://processing.org/learning/pixels/

Image Editing

Perfecting the look, texture, and lighting of Kenneth remains an ongoing project, but having reached a more acceptable state it's time to look at other elements of the project.

In order to have Kenneth, or any model, flush, I'll need the ability to change the colors in the given textures. I've started this process by downloading the Python Imaging Library (http://www.pythonware.com/products/pil/, http://www.pythonware.com/library/pil/handbook/introduction.htm), which allows me to read and write images.