Inference of geometric modeling operations
Apr 4, 2023·
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1 min read
Romain Pascual
Hakim Belhaouari
Agnès Arnould
Pascale Le Gall
Abstract
Implementing new geometric modelling operations can be challenging. However, their description can be easily understood from a sketch or an example. We propose a method to infer operations from a representative example consisting of an initial and a target object. The inference mechanism exploits the regularity of generalised maps and Jerboa’s rule-based language for the reconstruction of the topology. The inference of geometric aspects considers affine transformations of values from a vector space, which we solve as a constraint satisfaction problem.
Type
Publication
Journées Nationales de l’Informatique Mathématique 2023 (Poster)
Poster presented at the Journées Nationales de l’Informatique Mathématique 2023 (Paris), following the prize obtained at the GT Modélisation Géométrique in 2022. Also available on HAL: hal-04068329.