id: 06095239
dt: a
an: 06095239
au: Bergen, Steve; Ross, Brian J.
ti: Aesthetic 3D model evolution.
so: Machado, Penousal (ed.) et al., Evolutionary and biologically inspired
    music, sound, art and design. First international conference, EvoMUSART
    2012, Málaga, Spain, April 11‒13, 2012. Proceedings. Berlin:
    Springer (ISBN 978-3-642-29141-8/pbk). Lecture Notes in Computer
    Science 7247, 11-22 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: aesthetics; L-systems; 3D models; genetic programming; multi-objective
    evaluation
ci: 
li: doi:10.1007/978-3-642-29142-5_2
ab: Summary: 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.
rv: