Feedback-guided stroke placement for a painting machine

  • Authors:
  • Oliver Deussen;Thomas Lindemeier;Sören Pirk;Mark Tautzenberger

  • Affiliations:
  • University of Konstanz, Germany;University of Konstanz, Germany;University of Konstanz, Germany;University of Konstanz, Germany

  • Venue:
  • CAe '12 Proceedings of the Eighth Annual Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging
  • Year:
  • 2012

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Abstract

In this paper we present and evaluate painterly rendering techniques that work within a visual feedback loop of eDavid, our painting robot. The machine aims at simulating the human painting process. Two such methods are compared for different objects. One uses a predefined set of stroke candidates, the other creates strokes directly using line integral convolution. The aesthetics of both methods are discussed, results are shown.