Computer sculpture design and animation

Todd, Stephen; Latham, William; Hughes, Peter M.

doi:10.1002/vis.4340020306

Cited by 12 publications

(14 citation statements)

References 11 publications

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“…Some characteristics of CA, such as the regularity and complexity of the rules that are employed locally, suggest that they could be well suited to generating computer graphics. 2 Given the size of the side of search space is ssSize = 129, the population size for this pattern is pSize = This paper demonstrates the capability of a swarm intelligence algorithm -Stochastic Diffusion Search -in detecting absolute symmetries (when present) and the centre of partial symmetrical patterns within the input image. Evaluating the symmetry of cellular automata generated patterns is often a difficult task partly due the the large size of the search space, and partly due to the constantly changing, dynamic environment in which the cellular automata patterns are generated.…”

Section: Discussionmentioning

confidence: 92%

“…As displayed in the graph of Fig. 7, while the number of active and inactive agents are distinguishably far from one another, yet it is shown that the number of active agents does not reach the maximum 2 and the number of inactive agents does not drop to zero. This mechanism insures the identification of other (sub-) symmetrical points in the input.…”

Section: Algorithm 3 Context Sensitive Mechanismmentioning

confidence: 91%

“…Creating aesthetically pleasing images has been investigated by many researches in the context of evolutionary computing, including the Bimorphs of Dawkins [1], Mutator of Latham [2], and Virtual Creatures of Sims [3]. Although some impressive results have been achieved, there still remains problems with the aesthetic selection.…”

Section: Introductionmentioning

confidence: 99%

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Swarm intelligence approach in detecting spatially-independent symmetries in cellular automata

Javid

al-Rifaie

Zimmer

2015

2015 SAI Intelligent Systems Conference (IntelliSys)

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Abstract-In late 1940's and with the introduction of cellular automata, various types of problems in computer science and other multidisciplinary fields have started utilising this new technique. The generative capabilities of cellular automata have been used for simulating various natural, physical and chemical phenomena. Aside from these applications, the lattice grid of cellular automata has been providing a by-product interface to generate graphical patterns for digital art creation. One notable aspect of cellular automata is symmetry, detecting of which is often a difficult task and computationally expensive. This paper uses a swarm intelligence algorithm -Stochastic Diffusion Search -to extend and generalise previous works and detect partial symmetries in cellular automata generated patterns. The newly proposed technique tailored to address the spatially-independent symmetry problem is also capable of identifying the absolute point of symmetry (where symmetry holds from all perspectives) in a given pattern. Therefore, along with partially symmetric areas, the centre of symmetry is highlighted through the convergence of the agents of the swarm intelligence algorithm. This technique is potentially applicable in the domain of aesthetic evaluation where symmetry is one of the measures.

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Section: Discussionmentioning

confidence: 92%

Section: Algorithm 3 Context Sensitive Mechanismmentioning

confidence: 91%

See 1 more Smart Citation

Swarm intelligence approach in detecting spatially-independent symmetries in cellular automata

Javid

al-Rifaie

Zimmer

2015

2015 SAI Intelligent Systems Conference (IntelliSys)

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show abstract

“…The "Bimorphs" of Dawkins (1986),"Mutators" of Latham Todd et al (1991), and "Virtual Creatures" of Sims (1994) are the classical examples. Although some impressive results have been achieved, there still remain problems with the aesthetic selection.…”

Section: Introductionmentioning

confidence: 99%

Swarmic approach for symmetry detection of cellular automata behaviour

et al. 2017

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Since the introduction of cellular automata in the late 1940s they have been used to address various types of problems in computer science and other multidisciplinary fields. Their generative capabilities have been used for simulating and modelling various natural, physical and chemical phenomena. Besides these applications, the lattice grid of cellular automata has been providing a by-product interface to generate graphical contents for digital art creation. One important aspect of cellular automata is symmetry, detecting of which is often a difficult task and computationally expensive. In this paper a swarm intelligence algorithmStochastic Diffusion Search-is proposed as a tool to identify points of symmetry in the cellular automata-generated patterns.

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“…Creating aesthetically pleasing images has been investigated by many researches in the context of evolutionary computing, including the Bimorphs of Dawkins [18], Mutator of Latham [44], and Virtual Creatures of Sims [42]. Although some impressive results have been achieved, there still remains problems with the aesthetic selection.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Detecting Symmetries in Toroidal Topology

Javid

Alghamdi

Zimmer

et al. 2016

Studies in Computational Intelligence

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In late 1940's and with the introduction of cellular automata, various types of problems in computer science and other multidisciplinary fields have started utilising this new technique. The generative capabilities of cellular automata have been used for simulating various natural, physical and chemical phenomena. Aside from these applications, the lattice grid of cellular automata has been providing a byproduct interface to generate graphical patterns for digital art creation. One notable aspect of cellular automata is symmetry, detecting of which is often a difficult task and computationally expensive. This paper uses a swarm intelligence algorithmStochastic Diffusion Search -to extend and generalise previous works and detect partial symmetries in cellular automata generated patterns. The newly proposed technique tailored to address the spatially-independent symmetry problem is also capable of identifying the absolute point of symmetry (where symmetry holds from all perspectives) in a given pattern. Therefore, along with partially symmetric areas, the centre of symmetry is highlighted through the convergence of the agents of the swarm intelligence algorithm. Additionally this paper proposes the use of entropy and information gain measure as a complementary tool in order to offer insight into the structure of the input cellular automata generated images. It is shown that using these technique provides a comprehensive picture about both the strucMohammad Ali Javaheri Javid Department of Computing, Goldsmiths, University of London London SE14 6NW, United Kingdom e-mail: m.javaheri@gold.ac.uk ture of the images as well as the presence of any complete or spatially-independent symmetries. These technique are potentially applicable in the domain of aesthetic evaluation where symmetry is one of the measures.

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Computer sculpture design and animation

Cited by 12 publications

References 11 publications

Swarm intelligence approach in detecting spatially-independent symmetries in cellular automata

Swarm intelligence approach in detecting spatially-independent symmetries in cellular automata

Swarmic approach for symmetry detection of cellular automata behaviour

A Comparative Analysis of Detecting Symmetries in Toroidal Topology

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