Interactive GA flock brush for non-photorealistic rendering

  • Authors:
  • Hsueh En Huang;Meng Hiot Lim;Xianshun Chen;Choon Sing Ho

  • Affiliations:
  • Centre for Computational Intelligence, School of Computer Engineering, Nanyang Technological University Singapore, Singapore, Singapore;Centre for Computational Intelligence, School of Computer Engineering, Nanyang Technological University Singapore, Singapore, Singapore;Centre for Computational Intelligence, School of Computer Engineering, Nanyang Technological University Singapore, Singapore, Singapore;Centre for Computational Intelligence, School of Computer Engineering, Nanyang Technological University Singapore, Singapore, Singapore

  • Venue:
  • SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
  • Year:
  • 2012

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Abstract

Art styles are modes of expressing creative artistic ideas. Non-photorealistic rendering is a process of projecting artistic expressions in a digital representation. In this paper, we consider the use of evolutionary computation techniques to explore the variability of artistic styles through an evolutionary process. Our system, a union of biological swarms in the form of flocks and interactive genetic algorithm (IGA), generates artistic styles to produce stylized digital photographs. By varying a finite set of parameters, we transform photo-realistic scenes to artistic imagery. Our most distinct styles bear close resemblance to familiar traditional art styles like Impressionism and Pointillism.