“…The voxel-based approach is based on a grid method similar to an octree grid derived from hierarchical space partitioning [14]. In our case, a 3D voxel structure is superimposed on the acquired cloud of points.…”
In injection molding production, automatic inspections are needed to control defects and evaluate the assigned functional tolerances of components and dies. With the "Smart Manufacturing" approach as a point of view, this paper resumes part of a wider research aiming the integration and the automation of a Reverse Engineering inspection process in components and die set-up. The paper compares two fitting approaches for recognition of portions of cylindrical surfaces. Therefore, they are evaluated in the respect of an automatic voxel-based feature recognition of 3D dense cloud of points for tolerance inspection of injection-molded parts. The first approach is a 2D Levenberg Marquardt algorithm coupled with a first guess evaluation made by the Kasa algebraic form. The second one is a 3D fitting based on the RANdom SAmple Consensus algorithm (RANSAC). The evaluation has been made according to the ability of the approaches of working on points associated to the voxel structure that locally divides the cloud to characterize planar and curved surfaces. After the presentation of the overall automatic recognition, the cylindrical surface algorithms are presented and compared trough test cases.
“…The voxel-based approach is based on a grid method similar to an octree grid derived from hierarchical space partitioning [14]. In our case, a 3D voxel structure is superimposed on the acquired cloud of points.…”
In injection molding production, automatic inspections are needed to control defects and evaluate the assigned functional tolerances of components and dies. With the "Smart Manufacturing" approach as a point of view, this paper resumes part of a wider research aiming the integration and the automation of a Reverse Engineering inspection process in components and die set-up. The paper compares two fitting approaches for recognition of portions of cylindrical surfaces. Therefore, they are evaluated in the respect of an automatic voxel-based feature recognition of 3D dense cloud of points for tolerance inspection of injection-molded parts. The first approach is a 2D Levenberg Marquardt algorithm coupled with a first guess evaluation made by the Kasa algebraic form. The second one is a 3D fitting based on the RANdom SAmple Consensus algorithm (RANSAC). The evaluation has been made according to the ability of the approaches of working on points associated to the voxel structure that locally divides the cloud to characterize planar and curved surfaces. After the presentation of the overall automatic recognition, the cylindrical surface algorithms are presented and compared trough test cases.
“…In the present chapter, a powerful algorithm for multi-resolution surface extraction and -fairing, based on hybrid-meshes Guskov et al (2002), from unorganized 3D point clouds is proposed (cf. Keller et al (2005) and Keller et al (2007)). The method uses an octree-based voxel hierarchy computed from the original points in an initial hierarchical space partitioning (HSP) process.…”
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“…To reach the required automation the paper studies a point cloud segmentation with part type recognition based on a grid method similar to an octree grid derived from hierarchical space partitioning [5]. From this method a 3D voxel structure encompasses the point cloud discerning point presence by the attribute of 'true state' or 'false state' (1 or 0).…”
This paper presents a point cloud segmentation based on a spatial multiresolution discretisation that is derived from hierarchical space partitioning. Through part type recognition it aims to simplify Computer Aided Tolerance Inspection of electromechanical components avoiding cloud-CAD model registration. A voxel structure subdivides the point cloud. Then, through a suitable surface partitioning, it is linked to component volumes by means of the morphological components of the binary image that is derived from voxel attributes (‘true state’ if points are included in a specific cluster or ‘false state’ if they are not). The proposed approach is then applied on a din-rail clip of a breaker, made by injection moulding. This case study points out the suitability of the approach on box-shaped components or with normal protrusions, and its limits concerning the assumptions of the implementation
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