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An Egg Volume Measurement System Based on the Microsoft Kinect

Measuring the volume of bird eggs is a very important task for the poultry industry and ornithological research due to the high revenue generated by the industry. In this paper, we describe a prototype of a new metrological system comprising a 3D range camera, Microsoft Kinect (Version 2) and a poin...

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Autores principales: Chan, Ting On, Lichti, Derek D., Jahraus, Adam, Esfandiari, Hooman, Lahamy, Herve, Steward, Jeremy, Glanzer, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111257/
https://www.ncbi.nlm.nih.gov/pubmed/30060589
http://dx.doi.org/10.3390/s18082454
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author Chan, Ting On
Lichti, Derek D.
Jahraus, Adam
Esfandiari, Hooman
Lahamy, Herve
Steward, Jeremy
Glanzer, Matthew
author_facet Chan, Ting On
Lichti, Derek D.
Jahraus, Adam
Esfandiari, Hooman
Lahamy, Herve
Steward, Jeremy
Glanzer, Matthew
author_sort Chan, Ting On
collection PubMed
description Measuring the volume of bird eggs is a very important task for the poultry industry and ornithological research due to the high revenue generated by the industry. In this paper, we describe a prototype of a new metrological system comprising a 3D range camera, Microsoft Kinect (Version 2) and a point cloud post-processing algorithm for the estimation of the egg volume. The system calculates the egg volume directly from the egg shape parameters estimated from the least-squares method in which the point clouds of eggs captured by the Kinect are fitted to novel geometric models of an egg in a 3D space. Using the models, the shape parameters of an egg are estimated along with the egg’s position and orientation simultaneously under the least-squares criterion. Four sets of experiments were performed to verify the functionality and the performance of the system, while volumes estimated from the conventional water displacement method and the point cloud captured by a survey-grade laser scanner serve as references. The results suggest that the method is straightforward, feasible and reliable with an average egg volume estimation accuracy 93.3% when compared to the reference volumes. As a prototype, the software part of the system was implemented in a post-processing mode. However, as the proposed processing techniques is computationally efficient, the prototype can be readily transformed into a real-time egg volume system.
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spelling pubmed-61112572018-08-30 An Egg Volume Measurement System Based on the Microsoft Kinect Chan, Ting On Lichti, Derek D. Jahraus, Adam Esfandiari, Hooman Lahamy, Herve Steward, Jeremy Glanzer, Matthew Sensors (Basel) Article Measuring the volume of bird eggs is a very important task for the poultry industry and ornithological research due to the high revenue generated by the industry. In this paper, we describe a prototype of a new metrological system comprising a 3D range camera, Microsoft Kinect (Version 2) and a point cloud post-processing algorithm for the estimation of the egg volume. The system calculates the egg volume directly from the egg shape parameters estimated from the least-squares method in which the point clouds of eggs captured by the Kinect are fitted to novel geometric models of an egg in a 3D space. Using the models, the shape parameters of an egg are estimated along with the egg’s position and orientation simultaneously under the least-squares criterion. Four sets of experiments were performed to verify the functionality and the performance of the system, while volumes estimated from the conventional water displacement method and the point cloud captured by a survey-grade laser scanner serve as references. The results suggest that the method is straightforward, feasible and reliable with an average egg volume estimation accuracy 93.3% when compared to the reference volumes. As a prototype, the software part of the system was implemented in a post-processing mode. However, as the proposed processing techniques is computationally efficient, the prototype can be readily transformed into a real-time egg volume system. MDPI 2018-07-28 /pmc/articles/PMC6111257/ /pubmed/30060589 http://dx.doi.org/10.3390/s18082454 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chan, Ting On
Lichti, Derek D.
Jahraus, Adam
Esfandiari, Hooman
Lahamy, Herve
Steward, Jeremy
Glanzer, Matthew
An Egg Volume Measurement System Based on the Microsoft Kinect
title An Egg Volume Measurement System Based on the Microsoft Kinect
title_full An Egg Volume Measurement System Based on the Microsoft Kinect
title_fullStr An Egg Volume Measurement System Based on the Microsoft Kinect
title_full_unstemmed An Egg Volume Measurement System Based on the Microsoft Kinect
title_short An Egg Volume Measurement System Based on the Microsoft Kinect
title_sort egg volume measurement system based on the microsoft kinect
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111257/
https://www.ncbi.nlm.nih.gov/pubmed/30060589
http://dx.doi.org/10.3390/s18082454
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