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https://hdl.handle.net/2440/109074
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Type: | Conference paper |
Title: | Evolutionary image composition using feature covariance matrices |
Author: | Neumann, A. Szpak, Z.L. Chojnacki, W. Neumann, F. |
Citation: | Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017), 2017 / Bosman, P.A.N. (ed./s), vol.-, pp.817-824 |
Publisher: | Association for Computing Machinery |
Publisher Place: | New York, NY |
Issue Date: | 2017 |
ISBN: | 9781450349208 |
Conference Name: | Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2017 - 19 Jul 2017 : Berlin, Germany) |
Editor: | Bosman, P.A.N. |
Statement of Responsibility: | Aneta Neumann, Zygmunt L. Szpak, Wojciech Chojnacki, Frank Neumann |
Abstract: | Evolutionary algorithms have recently been used to create a wide range of artistic work. In this paper, we propose a new approach for the composition of new images from existing ones, that retain some salient features of the original images. We introduce evolutionary algorithms that create new images based on a fitness function that incorporates feature covariance matrices associated with different parts of the images. This approach is very flexible in that it can work with a wide range of features and enables targeting specific regions in the images. For the creation of the new images, we propose a population-based evolutionary algorithm with mutation and crossover operators based on random walks. Our experimental results reveal a spectrum of aesthetically pleasing images that can be obtained with the aid of our evolutionary process. |
Keywords: | Evolutionary algorithms; features; covariance matrices; image composition; digital art |
Rights: | © 2017 Copyright held by the owner/author(s). Publication rights licensed to ACM. |
DOI: | 10.1145/3071178.3071260 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140103400 http://purl.org/au-research/grants/arc/LE160100090 |
Published version: | https://dl.acm.org/doi/proceedings/10.1145/3071178 |
Appears in Collections: | Aurora harvest 7 Computer Science publications |
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