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CSG trees are an intuitive, yet powerful technique for the representation ofgeometry using a combination of Boolean set-operations and geometricprimitives. In general, there exists an infinite number of trees all describingthe same 3D solid. However, some trees are optimal regarding the number of usedoperations, their shape or other attributes, like their suitability forintuitive, human-controlled editing. In this paper, we present a systematiccomparison of newly developed and existing tree optimization methods andpropose a flexible processing pipeline with a focus on tree editability. Thepipeline uses a redundancy removal and decomposition stage for complexityreduction and different (meta-)heuristics for remaining tree optimization. Wealso introduce a new quantitative measure for CSG tree editability and show howit can be used as a constraint in the optimization process.

A Flexible Pipeline for the Optimization of CSG Trees