Evolving textures from high level descriptions

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@Article{Reynolds:IJART:2016,

• title = "Evolving textures from high level descriptions",
• author = "Craig Reynolds",
• journal = "Int. J. of Arts and Technology",
• year = "2016",
• month = mar # "~22",
• volume = "9",
• number = "1",
• pages = "26--38",
• keywords = "genetic algorithms, genetic programming, texture synthesis, evolutionary art, graphic design, tools, evolutionary computation, optimisation, procedural, textures, high level descriptions, stylistic description, colour images, fitness function, aesthetics",
• bibsource = "OAI-PMH server at www.inderscience.com",
• language = "eng",
• publisher = "Inderscience Publishers",
• ISSN = "1754-8861",
• URL = "http://www.inderscience.com/link.php?id=75407",
• DOI = "doi:10.1504/IJART.2016.075407",
• abstract = "Evolutionary texture synthesis is used in a prototype tool intended to assist a designer or artist by automatically discovering collections of candidate textures to fit a given stylistic description. The textures used here are small colour images created by procedural texture synthesis. This paper describes four examples of stylistic description. Each is defined by a handwritten fitness function that rates how well a given texture meets this style. Genetic programming uses the fitness function to evolve programs written in a texture synthesis language. This system automatically generates a catalogue of variations on the given theme. A designer could then visually scan through these textures to pick out ones that seem aesthetically interesting. Their procedural genetic representation would allow textures to be further adjusted by interactive evolution. The procedural representation also allows re-rendering textures at arbitrary pixel resolutions and provides a way to store them in a highly compressed form allowing lossless reconstruction.",

}

Genetic Programming entries for Craig W Reynolds

Citations