An exploration of genetic programming for non-photorealistic animations
Inhaltsverzeichnis
Reference
Ashkan Izadi and Vic Ciesielski: An exploration of genetic programming for non-photorealistic animations. 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010), Vol. 9, pp. 255-259, 9-11 July 2010.
DOI
http://dx.doi.org/10.1109/ICCSIT.2010.5563645
Abstract
In this paper we present a new technique for non photo-realistic rendering by using genetic programming. Our technique produces aesthetically pleasing animations in which a subject gradually emerges from a random collection of brushstrokes. We employ triangular brushstrokes with three different possibilities of strokes drawing on the canvas. The animations are evaluated by using a numerical measure of similarity to a target image and a qualitative evaluation of aesthetic characteristics by an artist. We provide many facilities to the artists to control the rendered images and create desirable animations.
Extended Abstract
Bibtex
Used References
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Links
Full Text
http://www.cs.rmit.edu.au/~vc/papers/izadi-iccsit-10.pdf
