- author = "Brian J. Ross and William Ralph and Hai Zong",
- title = "Evolutionary Image Synthesis Using a Model of Aesthetics",
- booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
- year = "2006",
- editor = "Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas",
- pages = "3832--3839",
- address = "Vancouver",
- month = "6-21 " # jul,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "0-7803-9487-9",
-
URL = "
http://www.cosc.brocku.ca/~bross/research/CEC2006.pdf",
-
DOI = "
doi:10.1109/CEC.2006.1688430",
- size = "8 pages",
- abstract = "The automatic synthesis of aesthetically pleasing images is investigated. Genetic programming with multiobjective fitness evaluation is used to evolve procedural texture formulae. With multi-objective fitness testing, candidate textures are evaluated according to multiple criteria. Each criteria designates a dimension of a multi-dimensional fitness space. The main feature test uses Ralph's model of aesthetics. This aesthetic model is based on empirical analyses of ne art, in which analysed art work exhibits bell curve distributions of colour gradients. Subjectively speaking, this bell-curve gradient measurement tends to favour images that have harmonious and balanced visual characteristics. Another feature test is colour histogram scoring. This test permits some control of the color composition, by matching a candidate texture's color composition with the colour histogram of a target image. This target image may be a digital image of another artwork. We found that the use of the bell curve model often resulted in images that were harmonious and easy-on-the-eyes. Without the use of the model, generated images were often too chaotic or boring. Although our approach does not guarantee aesthetically pleasing results, it does increase",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.
IEEE Catalog Number: 06TH8846D",
