Expression-Based Evolution of Faces



The combination of a classier system with an evolutionary image generation engine is explored. The framework is instantiated using an o-the-shelf face detection system and a general purpose, expressionbased, genetic programming engine. By default, the classier returns a binary output, which is inadequate to guide evolution. By retrieving information provided by intermediate results of the classication task, it became possible to develop a suitable tness function. The experimental results show the ability of the system to evolve images that are classied as faces. A subjective analysis also reveals the unexpected nature and artistic potential of the evolved images.


Evolutionary Computation, Evolutionary Art, Automatic Fitness Assignment, Face Detection


Artificial Intelligence


Proceedings of the 1st International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2012, Malaga, Spain, 2012. Spri, April 2012

Cited by

Year 2013 : 1 citations

 den Heijer, Eelco. Autonomous Evolutionary Art. PhD Thesis, Vrije Universiteit. 2013

Year 2012 : 1 citations

 den Heijer, Eelco, and A. E. Eiben. "Using scalable vector graphics to evolve art." International Journal of Arts and Technology, To appear.(Cited on page 93.) (2012).