Abstract | ||
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Methods for procedural modelling tend to be designed either for organic objects, which are described well by skeletal structures, or for man-made objects, which are described well by surface primitives. Procedural methods, which allow for modelling of both kinds of objects, are few and usually of greater complexity. Consequently, there is a need for a simple, general method which is capable of generating both types of objects. Generic Graph Grammar has been developed to address this need. The production rules consist of a small set of basic productions which are applied directly onto primitives in a directed cyclic graph. Furthermore, the basic productions are chosen such that Generic Graph Grammar seamlessly combines the capabilities of L-systems to imitate biological growth (to model trees, animals, etc.) and those of split grammars to design structured objects (chairs, houses, etc.). This results in a highly expressive grammar capable of generating a wide range of types of models. Models which consist of skeletal structures or surfaces or any combination of these. Besides generic modelling capabilities, the focus has also been on usability, especially user-friendliness and efficiency. Therefore several steps have been taken to simplify the workflow as well as to make the modelling scheme interactive. As proof of concept, a generic procedural modelling tool based on Generic Graph Grammar has been developed. |
Year | DOI | Venue |
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2012 | 10.1145/2448531.2448542 | SCCG |
Keywords | Field | DocType |
generic modelling capability,generic graph grammar,generic graph grammar seamlessly,generic procedural modelling tool,procedural method,simple grammar,skeletal structure,biological growth,modelling scheme,procedural modelling,basic production | Rule-based machine translation,Graph,Programming language,Computer science,Usability,Cycle graph,Grammar,Theoretical computer science,Proof of concept,Workflow,Small set | Conference |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
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Asger Nyman Christiansen | 1 | 23 | 2.48 |
Jakob Andreas Bærentzen | 2 | 58 | 7.67 |