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Automatic 3D CAD models reconstruction from 2D orthographic drawings

Article dans une revue avec comité de lecture
Auteur
ZHANG, Chao
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccPOLETTE, Arnaud
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
CARASI, Gregorio
DE CHARNACE, Henri
ccPERNOT, Jean-Philippe
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]

URI
http://hdl.handle.net/10985/26191
DOI
10.1016/j.cag.2023.05.021
10.1016/j.cag.2023.05.021
Date
2023
Journal
Computers and Graphics

Résumé

This paper introduces a two-stage approach that automatically generates 3D CAD models from 2D orthographic drawings. First, a pattern-matching algorithm is proposed to reconstruct a network of 3D edges by matching 2D edge features extracted from the multiple views of the 2D drawing. Second, starting from the resulting 3D wireframe and generated graph, a loop detection algorithm allows identifying possible loops of faces. Then, a clustering algorithm recognizes the faces from the set of detected loops. The reconstruction ends while trimming and stitching the faces to get a watertight ready-to-use 3D CAD model. This approach has been validated on a public dataset composed of several thousands of 3D shapes, and it achieved 99.59% of well-reconstructed models in F-score.

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Documents liés

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  • eCAD-Net: Editable Parametric CAD Models Reconstruction from Dumb B-Rep Models Using Deep Neural Networks 
    Article dans une revue avec comité de lecture
    ZHANG, Chao; PINQUIE, Romain; CARASI, Gregorio; DE CHARNACE, Henri; ccPERNOT, Jean-Philippe (Elsevier BV, 2025-01)
    This paper introduces a novel framework capable of reconstructing editable parametric CAD models from dumb B-Rep models. First, each B-Rep model is represented with a network-friendly formalism based on UVgraph, which ...
  • Geometric Over-Constraints Detection: A Survey 
    Article dans une revue avec comité de lecture
    HU, Hao; ZHANG, Chao; HUANG, Yanjia; ZHAO, Qian; YEUNG, Sunny; ccPERNOT, Jean-Philippe; ccKLEINER, Mathias (Springer Science and Business Media LLC, 2021-05-11)
    Currently, geometric over-constraints detection is of major interest in several diferent felds. In terms of product development process (PDP), many approaches exist to compare and detect geometric over-constraints, to ...
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    Article dans une revue avec comité de lecture
    PEUZIN-JUBERT, Manon; NOZAIS, Dominique; MARI, Jean-Luc; ccPERNOT, Jean-Philippe; ccPOLETTE, Arnaud (Elsevier BV, 2021-12)
    At present, optical sensors are being widely used to realize high quality control or reverse engineering of products, systems, buildings, environments or human bodies. Although the intrinsic characteristics of such ...
  • A Data Structure for Developing Data-Driven Digital Twins 
    Ouvrage scientifique
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    Digital twins have the potential to revolutionize the way we design, build and maintain complex systems. They are high-fidelity representations of physical assets in the digital space and thus allow advanced simulations ...
  • Case‑based tuning of a metaheuristic algorithm exploiting sensitivity analysis and design of experiments for reverse engineering applications 
    Article dans une revue avec comité de lecture
    ccSHAH GHAZANFAR, Ali; ccPOLETTE, Arnaud; ccPERNOT, Jean-Philippe; GIANNINI, Franca; MONTI, Marina (SPRINGER, 2022-03-17)
    Due to its capacity to evolve in a large solution space, the Simulated Annealing (SA) algorithm has shown very promising results for the Reverse Engineering of editable CAD geometries including parametric 2D sketches, ...

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