This is a screenshot of my edge detection/prototyping program. Basically, on
the left is the originally image and on the right is an image built from
Prototypes are generated by the program looking at the general "features" of
the image - for example the program saw the a solid black was one of the
prominent features and assigned the colour red to those pixel groups. Look
at the black group (second from right), now notice how the left-hand wing
has a band of black down the side?
I just thought you guys might be interested in this. It is a little
different to the normal IOTDs. It "may" relate to some graphics programming
in that you can actually recreate the image (given the right number of
prototypes and prototype resolution) quite impressively by using the
prototypes. This technique can be utilized with sounds too.
I'm thinking more along the lines of making a program that looks at a lot of
pictures of terrain and the builds prototypes from that data - then you
classify some real-world data (let's say a terrain map of England) using the
prototypes and get relatively realistic results but only using perhaps 20-30
prototypes. For more details see http://www.generation5.org/vision.shtml.
- James Matthews
"...At the forefront of Artificial Intelligence..."