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Variational geometric modeling with black box constraints and DAGs

Article dans une revue avec comité de lecture
Author
GOUATY, Gilles
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
FANG, Lincong
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
MICHELUCCI, Dominique
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
DANIEL, Marc
RAFFIN, Romain
LANQUETIN, Sandrine
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
NEVEU, Marc
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
ccPERNOT, Jean-Philippe
178374 Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques [LSIS- INSM]

URI
http://hdl.handle.net/10985/11350
DOI
10.1016/j.cad.2016.02.002
Date
2016
Journal
Computer-Aided Design

Abstract

CAD modelers enable designers to construct complex 3D shapes with high-level B-Rep operators. This avoids the burden of low level geometric manipulations. However a gap still exists between the shape that the designers have in mind and the way they have to decompose it into a sequence of modeling steps. To bridge this gap, Variational Modeling enables designers to specify constraints the shape must respect. The constraints are converted into an explicit system of mathematical equations (potentially with some inequalities) which the modeler numerically solves. However, most of available programs are 2D sketchers, basically because in higher dimension some constraints may have complex mathematical expressions. This paper introduces a new approach to sketch constrained 3D shapes. The main idea is to replace explicit systems of mathematical equations with (mainly) Computer Graphics routines considered as Black Box Constraints. The obvious difficulty is that the arguments of all routines must have known numerical values. The paper shows how to solve this issue, i.e., how to solve and optimize without equations. The feasibility and promises of this approach are illustrated with the developed DECO (Deformation by Constraints) prototype.

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