A Survey of Methods for Converting Unstructured Data to CSG Models

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@Article{FAYOLLE:2024:cad,

• author = "Pierre-Alain Fayolle and Markus Friedrich",
• title = "A Survey of Methods for Converting Unstructured Data to {CSG} Models",
• journal = "Computer-Aided Design",
• volume = "168",
• pages = "103655",
• year = "2024",
• ISSN = "0010-4485",
• DOI = "doi:10.1016/j.cad.2023.103655",
• URL = "https://www.sciencedirect.com/science/article/pii/S0010448523001872",
• keywords = "genetic algorithms, genetic programming, ANN, Segmentation, Fitting, Constructive solid geometry, Point-cloud and polygon soup to CSG conversion, Shape program synthesis",
• abstract = "The goal of this document is to survey existing methods for recovering or extracting CSG (Constructive Solid Geometry) representations from unstructured data such as 3D point-clouds or polygon meshes. We review and discuss related topics such as the segmentation and fitting of the input data. We cover techniques from solid modeling for the conversion of a polyhedron to a CSG expression and for the conversion of a B-rep to a CSG expression. We look at approaches coming from program synthesis, evolutionary techniques (such as genetic programming or genetic algorithm), and deep learning. Finally, we conclude our survey with a discussion of techniques for the generation of computer programs involving higher-level constructs, representations, and operations for representing solids",

}

Genetic Programming entries for Pierre-Alain Fayolle Markus Friedrich

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