Optimal Coherent Point Selection for 3D Quality Inspection from Silhouette-Based Reconstructions

Javier Pérez Soler (), Jose-Luis Guardiola, Alberto Perez Jimenez, Pau Garrigues Carbó, Nicolás García Sastre and Juan-Carlos Perez-Cortes
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Javier Pérez Soler: Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València, 46022 Valencia, Spain
Jose-Luis Guardiola: Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València, 46022 Valencia, Spain
Alberto Perez Jimenez: Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València, 46022 Valencia, Spain
Pau Garrigues Carbó: Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València, 46022 Valencia, Spain
Nicolás García Sastre: Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València, 46022 Valencia, Spain
Juan-Carlos Perez-Cortes: Instituto Tecnológico de Informática (ITI), Universitat Politècnica de València, 46022 Valencia, Spain

Mathematics, 2023, vol. 11, issue 21, 1-18

Abstract: 3D Geometric quality inspection involves assessing and comparing a reconstructed object to a predefined reference model or design that defines its expected volume. Achieving precise 3D object geometry reconstruction from multiple views can be challenging. In this research, we propose a camera-coherent point selection method to measure differences with the reference. The result is a point cloud extracted from the reconstruction that represents the best-case scenario, ensuring that any deviations from the reference are represented as seen from the cameras. This algorithm has been tested in both simulated and real conditions, reducing reconstruction errors by up to one fifth compared to traditional 3D reconstruction methodologies. Furthermore, this strategy assures that any existing difference with its reference really exists and it is a best-case scenario. It offers a fast and robust pipeline for comprehensive 3D geometric quality assurance, contributing significantly to advancements in the field of 3D object inspection.

Keywords: computer vision; 3D reconstruction; 3D quality inspection (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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