Inference of geometric modeling operations using generalized maps
Jun 16, 2022·
·
1 min read
Romain Pascual
Abstract
Implementing new operations for geometric modeling is often a difficult task when they can be simply described from a sketch or an example. We propose a method to infer operations via a representative example. The inference mechanism exploits the regularity of generalized maps and Jerboa’s rule-based language for topology reconstruction. For the reconstruction of the geometric computations, we handle the problem of the geometric positions of the vertices as a constraint satisfaction problem.
Event
IG Team Seminar
Location
XLIM-Poitiers
Seminar of the team Informatique Graphique from the XLIM laboratory in Poitiers.
Résumé: Implementing new operations for geometric modeling is often a difficult task when they can be simply described from a sketch or an example. We propose a method to infer operations via a representative example. The inference mechanism exploits the regularity of generalized maps and Jerboa’s rule-based language for topology reconstruction. For the reconstruction of the geometric computations, we handle the problem of the geometric positions of the vertices as a constraint satisfaction problem.
The topological part refer to the publication.
Demo missing in the slides:
