Title :
An exploration of genetic programming for non-photorealistic animations
Author :
Izadi, Ashkan ; Ciesielski, Vic
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., RMIT Univ., Melbourne, VIC, Australia
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.
Keywords :
computer animation; genetic algorithms; rendering (computer graphics); aesthetic characteristics; aesthetically pleasing animations; genetic programming; non-photorealistic animation; non-photorealistic rendering; triangular brushstrokes; Animation; Argon; Art; Rendering (computer graphics); Artificial intelligence; Computer graphics; Genetic programming; Non photo-realistic rendering;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563645