Aesthetic 3D Model Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Steve Bergen and Brian Ross",
  title =        "Aesthetic {3D} Model Evolution",
  booktitle =    "Proceedings of the 1st International Conference on
                 Evolutionary and Biologically Inspired Music, Sound,
                 Art and Design, EvoMUSART 2012",
  year =         "2012",
  month =        "11-13 " # apr,
  editor =       "Penousal Machado and Juan Romero and 
                 Adrian Carballal",
  series =       "LNCS",
  volume =       "7247",
  publisher =    "Springer Verlag",
  address =      "Malaga, Spain",
  pages =        "11--22",
  organisation = "EvoStar",
  isbn13 =       "978-3-642-29141-8",
  DOI =          "doi:10.1007/978-3-642-29142-5_2",
  keywords =     "genetic algorithms, genetic programming, Aesthetics,
                 L-systems, 3D models, multi-objective evaluation",
  abstract =     "Recently, evolutionary art has been exploring the use
                 of mathematical models of aesthetics, with the goal of
                 automatically evolving aesthetically pleasing images.
                 This paper investigates the application of similar
                 models of aesthetics towards the evolution of
                 3-dimensional structures. We extend existing models of
                 aesthetics used for image evaluation to the 3D realm,
                 by considering quantifiable properties of surface
                 geometry. Analyses used include entropy, complexity,
                 deviation from normality, 1/f noise, and symmetry. A
                 new 3D L-system implementation promotes accurate
                 analyses of surface features, as well as productive
                 rule sets when used with genetic programming.
                 Multi-objective evaluation reconciles multiple
                 aesthetic criteria. Experiments resulted in the
                 generation of many models that satisfied multiple
                 criteria. A human survey was conducted, and survey
                 takers showed a clear preference for high-fitness
                 highly-evolved models over low-fitness unevolved ones.
                 This research shows that aesthetic evolution of 3D
                 structures is a promising new research area for
                 evolutionary art.",
  notes =        "Part of \cite{Machado:2012:EvoMusArt_proc}
                 EvoMUSART'2012 held in conjunction with EuroGP2012,
                 EvoCOP2012, EvoBIO2012 and EvoApplications2012",

Genetic Programming entries for Steven Bergen Brian J Ross