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Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh

Automation of visual quality inspection tasks in manufacturing with machine vision is beginning to be the de facto standard for quality inspection as manufacturers realize that machines produce more reliable, consistent and repeatable analyses much quicker than a human operator ever could. These met...

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Detalles Bibliográficos
Autores principales: Parrott, Edward, Pickard, Joshua K., Dubay, Rickey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538206/
https://www.ncbi.nlm.nih.gov/pubmed/37765941
http://dx.doi.org/10.3390/s23187878
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author Parrott, Edward
Pickard, Joshua K.
Dubay, Rickey
author_facet Parrott, Edward
Pickard, Joshua K.
Dubay, Rickey
author_sort Parrott, Edward
collection PubMed
description Automation of visual quality inspection tasks in manufacturing with machine vision is beginning to be the de facto standard for quality inspection as manufacturers realize that machines produce more reliable, consistent and repeatable analyses much quicker than a human operator ever could. These methods generally rely on the installation of cameras to inspect and capture images of parts; however, there is yet to be a method proposed for the deployment of cameras which can rigorously quantify and certify the performance of the system when inspecting a given part. Furthermore, current methods in the field yield unrealizable exact solutions, making them impractical or impossible to actually install in a factory setting. This work proposes a set-based method of synthesizing continuous pose intervals for the deployment of cameras that certifiably satisfy constraint-based performance criteria within the continuous interval.
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spelling pubmed-105382062023-09-29 Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh Parrott, Edward Pickard, Joshua K. Dubay, Rickey Sensors (Basel) Article Automation of visual quality inspection tasks in manufacturing with machine vision is beginning to be the de facto standard for quality inspection as manufacturers realize that machines produce more reliable, consistent and repeatable analyses much quicker than a human operator ever could. These methods generally rely on the installation of cameras to inspect and capture images of parts; however, there is yet to be a method proposed for the deployment of cameras which can rigorously quantify and certify the performance of the system when inspecting a given part. Furthermore, current methods in the field yield unrealizable exact solutions, making them impractical or impossible to actually install in a factory setting. This work proposes a set-based method of synthesizing continuous pose intervals for the deployment of cameras that certifiably satisfy constraint-based performance criteria within the continuous interval. MDPI 2023-09-14 /pmc/articles/PMC10538206/ /pubmed/37765941 http://dx.doi.org/10.3390/s23187878 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Parrott, Edward
Pickard, Joshua K.
Dubay, Rickey
Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh
title Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh
title_full Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh
title_fullStr Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh
title_full_unstemmed Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh
title_short Synthesis of Valid Camera Poses for the Inspection of Triangular Facets in a 3D Mesh
title_sort synthesis of valid camera poses for the inspection of triangular facets in a 3d mesh
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538206/
https://www.ncbi.nlm.nih.gov/pubmed/37765941
http://dx.doi.org/10.3390/s23187878
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