Supervised Genetic Search for Parameter Selection in Painterly Rendering

  title={Supervised Genetic Search for Parameter Selection in Painterly Rendering},
  author={John P. Collomosse},
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing body of painterly rendering literature exists, the large number of low-level configurable parameters that feature in contemporary algorithms can be counter-intuitive for non-expert users to set. In this paper we first describe a multi-resolution painting algorithm capable of transforming photographs into paintings at… CONTINUE READING

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