Using DNA to Generate 3D Organic Art Forms

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/evoW/LathamSTLJK08,
  title =        "Using {DNA} to Generate 3{D} Organic Art Forms",
  author =       "William H. Latham and Miki Shaw and Stephen Todd and 
                 Frederic F. Leymarie and Benjamin R. Jefferys and 
                 Lawrence A. Kelley",
  bibdate =      "2008-04-15",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/evoW/evoW2008.html#LathamSTLJK08",
  booktitle =    "Proceedings of Evo{COMNET}, Evo{FIN}, Evo{HOT},
                 Evo{IASP}, Evo{MUSART}, Evo{NUM}, Evo{STOC}, and
                 EvoTransLog, Applications of Evolutionary Computing,
                 EvoWorkshops",
  publisher =    "Springer",
  year =         "2008",
  volume =       "4974",
  editor =       "Mario Giacobini and Anthony Brabazon and 
                 Stefano Cagnoni and Gianni {Di Caro} and Rolf Drechsler and 
                 Anik{\'o} Ek{\'a}rt and Anna Esparcia-Alc{\'a}zar and 
                 Muddassar Farooq and Andreas Fink and Jon McCormack and 
                 Michael O'Neill and Juan Romero and Franz Rothlauf and 
                 Giovanni Squillero and Sima Uyar and Shengxiang Yang",
  isbn13 =       "978-3-540-78760-0",
  pages =        "433--442",
  series =       "Lecture Notes in Computer Science",
  DOI =          "doi:10.1007/978-3-540-78761-7_46",
  address =      "Naples",
  month =        "26-28 " # mar,
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "A novel biological software approach to define and
                 evolve 3D computer art forms is described based on a
                 re-implementation of the FormGrow system produced by
                 Latham and Todd at IBM in the early 1990s. This
                 original work is extended by using DNA sequences as the
                 input to generate complex organic-like forms. The
                 translation of the DNA data to 3D graphic form is
                 performed by two contrasting processes, one intuitive
                 and one informed by the biochemistry. The former
                 involves the development of novel, but simple, look-up
                 tables to generate a code list of functions such as the
                 twisting, bending, stacking, and scaling and their
                 associated parametric values such as angle and scale.
                 The latter involves an analysis of the biochemical
                 properties of the proteins encoded by genes in DNA,
                 which are used to control the parameters of a fixed
                 FormGrow structure. The resulting 3D data sets are then
                 rendered using conventional techniques to create
                 visually appealing art forms. The system maps DNA data
                 into an alternative multi-dimensional space with strong
                 graphic visual features such as intricate branching
                 structures and complex folding. The potential use in
                 scientific visualisation is illustrated by two
                 examples. Forms representing the sickle cell anaemia
                 mutation demonstrate how a point mutation can have a
                 dramatic effect. An animation illustrating the
                 divergent evolution of two proteins with a common
                 ancestor provides a compelling view of an evolutionary
                 process lost in millions of years of natural history.",
}

Genetic Programming entries for William Latham Miki Shaw Stephen Todd Frederic F Leymarie Benjamin R Jefferys Lawrence A Kelley

Citations