Expression-Based Evolution of Faces
Inhaltsverzeichnis
Reference
Penousal Machado, João Correia, Juan Romero: Expression-Based Evolution of Faces. In: EvoMUSART 2012, S. 187-198.
DOI
http://link.springer.com/10.1007/978-3-642-29142-5_17
Abstract
The combination of a classifier system with an evolutionary image generation engine is explored. The framework is instantiated using an off-the-shelf face detection system and a general purpose, expression-based, genetic programming engine. By default, the classifier returns a binary output, which is inadequate to guide evolution. By retrieving information provided by intermediate results of the classification task, it became possible to develop a suitable fitness function. The experimental results show the ability of the system to evolve images that are classified as faces. A subjective analysis also reveals the unexpected nature and artistic potential of the evolved images.
Extended Abstract
Bibtex
@incollection{
year={2012},
isbn={978-3-642-29141-8},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={7247},
series={Lecture Notes in Computer Science},
editor={Machado, Penousal and Romero, Juan and Carballal, Adrian},
doi={10.1007/978-3-642-29142-5_17},
title={Expression-Based Evolution of Faces},
url={http://dx.doi.org/10.1007/978-3-642-29142-5_17 http://de.evo-art.org/index.php?title=Expression-Based_Evolution_of_Faces },
publisher={Springer Berlin Heidelberg},
keywords={Evolutionary Art; Automatic Fitness Assignment; Face Detection},
author={Machado, Penousal and Correia, João and Romero, Juan},
pages={187-198},
language={English}
}
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Links
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