CAD-driven Pattern Recognition in Reverse Engineered Models

S. Gauthier, W. Puech, R. Bénière, G. Subsol

2019

Abstract

Today, it has become frequent and relatively easy to digitize the surface of 3D objects and then to reconstruct a combination of geometric primitives such as planes, cylinders, spheres or cones. However, the given reconstruction contains only geometry, no information of a semantic nature used during the design process is included. In this paper, we present a robust method to recognize specific geometric structures which are not explicitly present in an object, such as features and repetitions. These are known as patterns, which are used in the CAD modeling process. Moreover, the digitization of an object often leads to various inaccuracies, and therefore inaccurate extracted primitives. We also demonstrate how recognized patterns can be useful as an application in beautification, which consists of the adjustment of primitive parameters to satisfy geometrical relations such as parallelism and concentricity. Our objective is to design a fast and automatic method, which is seldom seen in reverse engineering. We show the efficiency and robustness of our method through experimental results applied on reverse engineered 3D meshes.

Paper Citation

in Harvard Style

Gauthier S., Puech W., Bénière R. and Subsol G. (2019). CAD-driven Pattern Recognition in Reverse Engineered Models. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP; ISBN 978-989-758-354-4, SciTePress, pages 244-254. DOI: 10.5220/0007360702440254

in Bibtex Style

@conference{grapp19,
author={S. Gauthier and W. Puech and R. Bénière and G. Subsol},
title={CAD-driven Pattern Recognition in Reverse Engineered Models},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP},
year={2019},
pages={244-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007360702440254},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP
TI - CAD-driven Pattern Recognition in Reverse Engineered Models
SN - 978-989-758-354-4
AU - Gauthier S.
AU - Puech W.
AU - Bénière R.
AU - Subsol G.
PY - 2019
SP - 244
EP - 254
DO - 10.5220/0007360702440254
PB - SciTePress