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Generating Aesthetically Pleasing Images in a Virtual Environment using Particle Swarm Optimization

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dc.contributor.author Barry, William
dc.date.accessioned 2012-11-07T19:41:03Z
dc.date.available 2012-11-07T19:41:03Z
dc.date.issued 2012-11-07
dc.identifier.uri http://hdl.handle.net/10464/4137
dc.description.abstract This research focuses on generating aesthetically pleasing images in virtual environments using the particle swarm optimization (PSO) algorithm. The PSO is a stochastic population based search algorithm that is inspired by the flocking behavior of birds. In this research, we implement swarms of cameras flying through a virtual world in search of an image that is aesthetically pleasing. Virtual world exploration using particle swarm optimization is considered to be a new research area and is of interest to both the scientific and artistic communities. Aesthetic rules such as rule of thirds, subject matter, colour similarity and horizon line are all analyzed together as a multi-objective problem to analyze and solve with rendered images. A new multi-objective PSO algorithm, the sum of ranks PSO, is introduced. It is empirically compared to other single-objective and multi-objective swarm algorithms. An advantage of the sum of ranks PSO is that it is useful for solving high-dimensional problems within the context of this research. Throughout many experiments, we show that our approach is capable of automatically producing images satisfying a variety of supplied aesthetic criteria. en_US
dc.language.iso eng en_US
dc.publisher Brock University en_US
dc.subject Image Composition, Image Analysis, Virtual Photography, Virtual Environment, Particle Swarm Optimization, Multi-Objective, Sum of Ranks, Pareto, en_US
dc.title Generating Aesthetically Pleasing Images in a Virtual Environment using Particle Swarm Optimization en_US
dc.type Electronic Thesis or Dissertation en_US
dc.degree.name M.Sc. Computer Science en_US
dc.degree.level Masters en_US
dc.contributor.department Department of Computer Science en_US
dc.degree.discipline Faculty of Mathematics and Science en_US
dc.embargo.terms None en_US


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