Generating diverse ethnic groups with genetic algorithms

  • Authors:
  • Tomas Trescak;Anton Bogdanovych;Simeon Simoff;Inmaculada Rodriguez

  • Affiliations:
  • Artificial Intelligence Research Institute, IIIA, Barcelona, Catalonia, Spain;University of Western Sydney, Sydney, NSW, Australia;University of Western Sydney, Sydney, NSW, Australia;University of Barcelona, Barcelona, Spain

  • Venue:
  • Proceedings of the 18th ACM symposium on Virtual reality software and technology
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Simulating large crowds of virtual agents has become an important problem in virtual reality applications, video games, cinematography and training simulators. In this paper, we show how to achieve a high degree of appearance variation among individual 3D avatars in generated crowds through the use of genetic algorithms, while also manifesting unique characteristic features of a given population group. We show how virtual cities can be populated with diverse crowds of virtual agents that preserve their ethnic features, illustrate how our approach can be used to simulate full body avatar appearance, present a case study and analyze our results.