research-article

Photogrowth: non-photorealistic renderings through ant paintings

Authors:

Penousal Machado,

Luís PereiraAuthors Info & Claims

GECCO '12: Proceedings of the 14th annual conference on Genetic and evolutionary computation

Pages 233 - 240

https://doi.org/10.1145/2330163.2330197

Published: 07 July 2012 Publication History

Abstract

We introduce photogrowth, an evolutionary approach to the production of non-photorealistic renderings of images. The painting algorithm - inspired by ant colony approaches - is described and explained, giving emphasis to its novel aspects: the evolution of the sensory parameters of the ants; the production of resolution independent images; the rendering lines of variable width. The experimental results highlight the range of imagery that can be evolved by the system and show the potential of the approach for the production of large-format artworks.

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Cited By

Machado PCorreia JLi XHandl J(2024)Evolutionary Art and Design in the Machine Learning EraProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3648408(1460-1501)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3648408
Adamik MGoga JPavlovicova JBabinec ASekaj I(2022)Fast robotic pencil drawing based on image evolution by means of genetic algorithmRobotics and Autonomous Systems10.1016/j.robot.2021.103912148:COnline publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1016/j.robot.2021.103912
Neumann AAlexander BNeumann F(2021)Evolutionary Image Transition and Painting Using Random WalksEvolutionary Computation10.1162/evco_a_0027028:4(643-675)Online publication date: 25-Feb-2021
https://dl.acm.org/doi/10.1162/evco_a_00270
Show More Cited By

Index Terms

Photogrowth: non-photorealistic renderings through ant paintings
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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Published In

cover image ACM Conferences

GECCO '12: Proceedings of the 14th annual conference on Genetic and evolutionary computation

July 2012

1396 pages

ISBN:9781450311779

DOI:10.1145/2330163

Editor:
Terence Soule
University of Idaho, USA
,
General Chair:
Jason H. Moore
Dartmouth College, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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New York, NY, United States

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Published: 07 July 2012

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GECCO '12

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GECCO '12: Genetic and Evolutionary Computation Conference

July 7 - 11, 2012

Pennsylvania, Philadelphia, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Machado PCorreia JLi XHandl J(2024)Evolutionary Art and Design in the Machine Learning EraProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3648408(1460-1501)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3648408
Adamik MGoga JPavlovicova JBabinec ASekaj I(2022)Fast robotic pencil drawing based on image evolution by means of genetic algorithmRobotics and Autonomous Systems10.1016/j.robot.2021.103912148:COnline publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1016/j.robot.2021.103912
Neumann AAlexander BNeumann F(2021)Evolutionary Image Transition and Painting Using Random WalksEvolutionary Computation10.1162/evco_a_0027028:4(643-675)Online publication date: 25-Feb-2021
https://dl.acm.org/doi/10.1162/evco_a_00270
Salimi MSalimi M(2021)ConclusionSwarm Systems in Art and Architecture10.1007/978-981-16-4357-6_7(103-127)Online publication date: 20-Oct-2021
https://doi.org/10.1007/978-981-16-4357-6_7
Salimi MSalimi M(2021)System OutputSwarm Systems in Art and Architecture10.1007/978-981-16-4357-6_4(41-65)Online publication date: 20-Oct-2021
https://doi.org/10.1007/978-981-16-4357-6_4
Salimi MSalimi M(2021)ModelSwarm Systems in Art and Architecture10.1007/978-981-16-4357-6_3(15-39)Online publication date: 20-Oct-2021
https://doi.org/10.1007/978-981-16-4357-6_3
de Andrade DFachada NFernandes CRosa A(2020)Generative Art with Swarm LandscapesEntropy10.3390/e2211128422:11(1284)Online publication date: 12-Nov-2020
https://doi.org/10.3390/e22111284
Choi TAhn C(2019)Artificial life based on boids model and evolutionary chaotic neural networks for creating artworksSwarm and Evolutionary Computation10.1016/j.swevo.2017.09.00347(80-88)Online publication date: Jun-2019
https://doi.org/10.1016/j.swevo.2017.09.003
Heidarpour MHoseini S(2015)Generating art tile patterns using genetic algorithm2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)10.1109/CFIS.2015.7391652(1-4)Online publication date: Sep-2015
https://doi.org/10.1109/CFIS.2015.7391652
Tseng HChen Y(2015)Artistic image processing with cellular automata and evolutionary algorithms2015 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2015.7257150(2153-2159)Online publication date: May-2015
https://doi.org/10.1109/CEC.2015.7257150

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