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Sensors 2018, 18(9), 2993;

A System for In-Line 3D Inspection without Hidden Surfaces

Instituto Tecnológico de Informática( ITI), Universidad Politècnica de València, 46022 Valencia, Spain
Departamento de Informática de Sistemas y Computadores (DISCA), Universidad Politècnica de València, 46022 Valencia, Spain
Authors to whom correspondence should be addressed.
Received: 24 July 2018 / Revised: 1 September 2018 / Accepted: 4 September 2018 / Published: 7 September 2018
(This article belongs to the Special Issue Depth Sensors and 3D Vision)
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This work presents a 3D scanner able to reconstruct a complete object without occlusions, including its surface appearance. The technique presents a number of differences in relation to current scanners: it does not require mechanical handling like robot arms or spinning plates, it is free of occlusions since the scanned part is not resting on any surface and, unlike stereo-based methods, the object does not need to have visual singularities on its surface. This system, among other applications, allows its integration in production lines that require the inspection of a large volume of parts or products, especially if there is an important variability of the objects to be inspected, since there is no mechanical manipulation. The scanner consists of a variable number of industrial quality cameras conveniently distributed so that they can capture all the surfaces of the object without any blind spot. The object is dropped through the common visual field of all the cameras, so no surface or tool occludes the views that are captured simultaneously when the part is in the center of the visible volume. A carving procedure that uses the silhouettes segmented from each image gives rise to a volumetric representation and, by means of isosurface generation techniques, to a 3D model. These techniques have certain limitations on the reconstruction of object regions with particular geometric configurations. Estimating the inherent maximum error in each area is important to bound the precision of the reconstruction. A number of experiments are presented reporting the differences between ideal and reconstructed objects in the system. View Full-Text
Keywords: octree carving; shape from silhouette; visual hull; 3D metrics; 3D reconstruction; camera calibration octree carving; shape from silhouette; visual hull; 3D metrics; 3D reconstruction; camera calibration

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Perez-Cortes, J.-C.; Perez, A.J.; Saez-Barona, S.; Guardiola, J.-L.; Salvador, I. A System for In-Line 3D Inspection without Hidden Surfaces. Sensors 2018, 18, 2993.

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