Evolutionary Search for the Artistic Rendering of Photographs
- John P. CollomosseAffiliated withDepartment of Computer Science, University of Bath
This chapter explores algorithms for the artistic stylization (transformation) of photographs into digital artwork, complementing techniques discussed so far in this book that focus on image generation. Most artistic stylization 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 optimization 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 stylization 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 parameterized painterly rendering algorithms.
- Evolutionary Search for the Artistic Rendering of Photographs
- Book Title
- The Art of Artificial Evolution
- Book Subtitle
- A Handbook on Evolutionary Art and Music
- Book Part
- Part I
- pp 39-62
- Print ISBN
- Online ISBN
- Series Title
- Natural Computing Series
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Industry Sectors
- eBook Packages
- Editor Affiliations
- 3. Department of Information and Communication Technologies, University of A Coruña Campus de Elvina
- 4. CISUC Dept. of Informatics Engineering, University of Coimbra
- Author Affiliations
- 5. Department of Computer Science, University of Bath, Bath, U.K.
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