Evolving Figurative Images Using Expression–Based Evolutionary Art

Authors

João Nuno Correia
Penousal Machado
Juan Jesus Romero
Adrian Carballal

Abstract

The combination of a classifier system with an evolutionary image generation engine is explored. The framework is composed of an object detector and a general purpose, expression-based, genetic programming engine. Several object detectors are instantiated to detect faces, lips, breasts and leaves. The experimental results show the ability of the system to evolve images that are classified as the corresponding objects. A subjective analysis also reveals the unexpected nature and artistic potential of the evolved images.

Keywords

Evolutionary Computation, Computational Creativity, Machine Learning

Subject

Computational Creativity

Conference

Proceedings of the fourth International Conference on Computational Creativity (ICCC), pages 24-31, Sydney, Australia June 12-14 , June 2013

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Cited by

Year 2015 : 3 citations

The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity
A Iqbal, M Guid, S Colton, J Krivec, S Azman… - arXiv preprint arXiv: …, 2015 - arxiv.org

Data mining and machine learning in computational creativity
H Toivonen, O Gross - Wiley Interdisciplinary Reviews: Data …, 2015 - Wiley Online Library

Dahlstedt, Palle. "Turn-based evolution in a simplified model of artistic creative process." Evolutionary Intelligence: 1-14.