As-scanned point clouds generation for virtual Reverse Engineering of CAD assembly models
Article dans une revue avec comité de lecture
This paper introduces a new approach for the generation of as-scanned point clouds of CAD assembly models. The resulting point clouds incorporate various realistic artifacts that would appear if the corresponding real objects were digitalized with a laser scanner. Such a virtual Reverse Engineering technique can produce a huge amount of realistic point clouds much faster than using classical time-consuming Reverse Engineering techniques on real physical objects. Here, there is no need to use a laser scanner and the post-processing steps are automatic. Using this technique, it is easy to create large databases of point clouds automatically segmented and labeled from the CAD models and which can be used for supervised machine learning. The proposed approach starts by generating a triangle mesh wrapping the CAD assembly model to be reverse engineered. The resulting watertight mesh is then sampled to obtain a more realistic distribution of points. The occlusion phenomenon is then simulated using a hidden point removal algorithm launched from several viewpoints. A misalignment procedure can optionally be used to simulate the fact that in real-life Reverse Engineering the position and orientation of the laser scanner and/or real object would have been changed to get a different scanning viewpoint. The virtual Reverse Engineering process ends by generating noise and by inserting outliers. The approach is illustrated and validated on several industrial examples.
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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 lectureSHAH GHAZANFAR, Ali; POLETTE, Arnaud; PERNOT, 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, ...
Article dans une revue avec comité de lectureSHAH GHAZANFAR, Ali; GIANNINI, Franca; MONTI, Marina; PERNOT, Jean-Philippe; POLETTE, Arnaud (Springer Science and Business Media LLC, 2020-02-18)This paper introduces a new ftting approach to allow an efcient part-by-part reconstruction or update of editable CAD models fitting the point cloud of a digitized mechanical parts′ assembly. The idea is to make use ...
Article dans une revue avec comité de lectureSHAH GHAZANFAR, Ali; GIANNINI, Franca; MONTI, Marina; PERNOT, Jean-Philippe; POLETTE, Arnaud (ASME, 2021-12-16)This paper introduces a novel reverse engineering (RE) technique for the reconstruction of editable computer-aided design (CAD) models of mechanical parts’ assemblies. The input is a point cloud of a mechanical parts’ ...
Sensitivity Analysis for Simulated Annealing-Based Fitting of CAD Models to Point Clouds of Digitized Parts Chapitre d'ouvrageSHAH, Ghazanfar Ali; GIANNINI, Franca; MONTI, Marina; PERNOT, Jean-Philippe; POLETTE, Arnaud (Springer International Publishing, 2021-04-22)AbstractThis paper addresses the way a simulated annealing-based fitting strategy can be enhanced by leveraging a sensitivity analysis able to characterize the impact of the variations in the parameters of a CAD model on ...
Article dans une revue avec comité de lecturePEUZIN-JUBERT, Manon; NOZAIS, Dominique; MARI, Jean-Luc; PERNOT, Jean-Philippe; POLETTE, 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 ...