PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Evolutionary search for the artistic rendering of photographs
John Collomosse
In: Art of Artificial Evolution: A Handbook (2007) Springer-Velag , pp. 39-62.

Abstract

This chapter explores algorithms for the artistic stylisation (transformation) of photographs into digital artwork, complementing techniques discussed so far in this book that focus on image generation. Most artistic stylisation algorithms operate by placing atomic rendering primitives "strokes" on a virtual canvas, guided by automated artistic heuristics. In many cases the stroke placement process can be phrased as an optimisation problem, demanding guided exploration of a high dimensional and turbulent search space to produce aesthetically pleasing renderings. Evolutionary search algorithms can offer attractive solutions to such problems. This chapter begins with a brief review of artistic stylisation algorithms, in particular algorithms for producing painterly renderings from two-dimensional sources. It then discusses how genetic algorithms may be harnessed both to increase control over level of detail when painting (so improving aesthetics) and to enhance usability of parameterised painterly rendering algorithms.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:8357
Deposited By:John Collomosse
Deposited On:30 October 2011