Abstract

Two well-known approaches for modelling virtual vegetation are grammar-based methods (L-systems) and the Xfrog method, which is based on graph transformations expanding ``multiplier'' nodes. We show that both approaches can be unified in the framework of ``relational growth grammars'', a variant of parallel graph grammars. We demonstrate this possibility and the synergistic benefits of the combination of both methods at simple plant models which were processed using our open-source software GroIMP.

Keywords

MSC

68-U05

Cite this article

@article{cai-2528,
  author  = {Michael Henke and Ole Kniemeyer and Winfried Kurth},
  title   = {Realization and Extension of the Xfrog Approach for Plant Modelling in the Graph-Grammar Based Language XL},
  journal = {Computing and Informatics},
  volume  = {36},
  number  = {1},
  pages   = {33--54},
  year    = {2017},
  issn    = {1335-9150},
  doi     = {10.4149/cai_2017_1_33}
}
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