Animated drawings rendered by genetic programming

Barile, P, Ciesielski, V, Berry, M and Trist, K 2009, 'Animated drawings rendered by genetic programming', in Günther Raidl and Franz Rothlauf (ed.) Proceedings of the Genetic and Evolutionary Computation Conference, 2009, Montreal, Canada, 8-12 July 2009, pp. 939-946.

Document type: Conference Paper
Collection: Conference Papers

Title Animated drawings rendered by genetic programming
Author(s) Barile, P
Ciesielski, V
Berry, M
Trist, K
Year 2009
Conference name Genetic and Evolutionary Computation Conference (GECCO 2009)
Conference location Montreal, Canada
Conference dates 8-12 July 2009
Proceedings title Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Editor(s) Günther Raidl and Franz Rothlauf
Publisher ACM
Place of publication New York, U.S.A
Start page 939
End page 946
Total pages 8
Abstract We describe an approach to generating animations of drawings that start as a random collection of strokes and gradually resolve into a recognizable subject. The strokes are represented as tree based genetic programs. An animation is generated by rendering the best individual in a generation as a frame of a movie. The resulting animations have an engaging characteristic in which the target slowly emerges from a random set of strokes. We have generated two qualitatively different kinds of animations, ones that use grey level straight line strokes and ones that use binary Bezier curve stokes. Around 100,000 generations are needed to generate engaging animations. Population sizes of 2 and 4 give the best convergence behaviour. Convergence can be accelerated by using information from the target in drawing a stroke. Our approach provides a large range of creative opportunities for artists. Artists have control over choice of target and the various stroke parameters.
Subjects Interactive Media
Astronomical and Space Sciences not elsewhere classified
Operations Research
Keyword(s) Evolutionary Search
Non Photorealistic Rendering
Evolved Art
Genetic Art
DOI - identifier 10.1145/1569901.1570030
Copyright notice Copyright 2009 ACM
ISBN 9781605583259
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Citation counts: Scopus Citation Count Cited 12 times in Scopus Article | Citations
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