Expression-based evolution of faces
View/ Open
Use this link to cite
http://hdl.handle.net/2183/20692Collections
Metadata
Show full item recordTitle
Expression-based evolution of facesDate
2012Citation
Machado P, Correia J, Romero J. Expression-based evolution of faces. Ponencia presentada en Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2012; 2012 Abr 11-13; Málaga. Berlin: Springer; 2012. p.187-198 (Lecture Notes in Computer Science; 7247)
Abstract
[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.
Keywords
Evolutionary art
Automatic fitness assignement
Face detection
Automatic fitness assignement
Face detection
Editor version
Rights
The final publication is avaliable at Springer Link
ISBN
978-3-642-29141-8 978-3-642-29142-5