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Automatic 3D CAD models reconstruction from 2D orthographic drawings

Article dans une revue avec comité de lecture
Author
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

Abstract

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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