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Analysis of Camera Arrays Applicable to the Internet of Things

The Internet of Things is built based on various sensors and networks. Sensors for stereo capture are essential for acquiring information and have been applied in different fields. In this paper, we focus on the camera modeling and analysis, which is very important for stereo display and helps with...

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Detalles Bibliográficos
Autores principales: Yang, Jiachen, Xu, Ru, Lv, Zhihan, Song, Houbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813995/
https://www.ncbi.nlm.nih.gov/pubmed/27011189
http://dx.doi.org/10.3390/s16030421
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author Yang, Jiachen
Xu, Ru
Lv, Zhihan
Song, Houbing
author_facet Yang, Jiachen
Xu, Ru
Lv, Zhihan
Song, Houbing
author_sort Yang, Jiachen
collection PubMed
description The Internet of Things is built based on various sensors and networks. Sensors for stereo capture are essential for acquiring information and have been applied in different fields. In this paper, we focus on the camera modeling and analysis, which is very important for stereo display and helps with viewing. We model two kinds of cameras, a parallel and a converged one, and analyze the difference between them in vertical and horizontal parallax. Even though different kinds of camera arrays are used in various applications and analyzed in the research work, there are few discussions on the comparison of them. Therefore, we make a detailed analysis about their performance over different shooting distances. From our analysis, we find that the threshold of shooting distance for converged cameras is 7 m. In addition, we design a camera array in our work that can be used as a parallel camera array, as well as a converged camera array and take some images and videos with it to identify the threshold.
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spelling pubmed-48139952016-04-06 Analysis of Camera Arrays Applicable to the Internet of Things Yang, Jiachen Xu, Ru Lv, Zhihan Song, Houbing Sensors (Basel) Article The Internet of Things is built based on various sensors and networks. Sensors for stereo capture are essential for acquiring information and have been applied in different fields. In this paper, we focus on the camera modeling and analysis, which is very important for stereo display and helps with viewing. We model two kinds of cameras, a parallel and a converged one, and analyze the difference between them in vertical and horizontal parallax. Even though different kinds of camera arrays are used in various applications and analyzed in the research work, there are few discussions on the comparison of them. Therefore, we make a detailed analysis about their performance over different shooting distances. From our analysis, we find that the threshold of shooting distance for converged cameras is 7 m. In addition, we design a camera array in our work that can be used as a parallel camera array, as well as a converged camera array and take some images and videos with it to identify the threshold. MDPI 2016-03-22 /pmc/articles/PMC4813995/ /pubmed/27011189 http://dx.doi.org/10.3390/s16030421 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Jiachen
Xu, Ru
Lv, Zhihan
Song, Houbing
Analysis of Camera Arrays Applicable to the Internet of Things
title Analysis of Camera Arrays Applicable to the Internet of Things
title_full Analysis of Camera Arrays Applicable to the Internet of Things
title_fullStr Analysis of Camera Arrays Applicable to the Internet of Things
title_full_unstemmed Analysis of Camera Arrays Applicable to the Internet of Things
title_short Analysis of Camera Arrays Applicable to the Internet of Things
title_sort analysis of camera arrays applicable to the internet of things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813995/
https://www.ncbi.nlm.nih.gov/pubmed/27011189
http://dx.doi.org/10.3390/s16030421
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