Interactive Evolution for Designing Motion Variants

  • Jonathan Eisenmann
  • Matthew Lewis
  • Bryan Cline
Conference paper

DOI: 10.1007/978-3-642-20206-3_9

Part of the Studies in Computational Intelligence book series (SCI, volume 343)
Cite this paper as:
Eisenmann J., Lewis M., Cline B. (2011) Interactive Evolution for Designing Motion Variants. In: Madani K., Correia A.D., Rosa A., Filipe J. (eds) Computational Intelligence. Studies in Computational Intelligence, vol 343. Springer, Berlin, Heidelberg

Abstract

We present an intuitive method for novice users to interactively design custom populations of stylized, heterogeneous motion, from one input motion. The user sets up lattice deformers which are used by a genetic algorithm to manipulate the animation channels of the input motion and create new motion variants. Our interactive evolutionary design environment allows the user to traverse the available space of possibilities, presents the user with populations of motion, and gradually converges to a satisfactory set of solutions. Each generated motion can undergo a filtering process subject to user-specified, high-level metrics to produce a result crafted to fit the designer’s interest. We demonstrate application to both character animation and particle systems.

Keywords

Evolutionary design Animation Interaction techniques Crowds Particle systems 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jonathan Eisenmann
    • 1
  • Matthew Lewis
    • 2
  • Bryan Cline
    • 1
  1. 1.Computer Science & EngineeringThe Ohio State UniversityColumbusU.S.A.
  2. 2.Advanced Computing Center for the Arts & DesignThe Ohio State UniversityColumbusU.S.A.

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