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Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System

A new compact large field of view (FOV) multi-camera system is introduced. The camera is based on seven tiny complementary metal-oxide-semiconductor sensor modules covering over 160° × 160° FOV. Although image stitching has been studied extensively, sensor and lens differences have not been consider...

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Detalles Bibliográficos
Autores principales: Lu, Yu, Wang, Keyi, Fan, Gongshu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851030/
https://www.ncbi.nlm.nih.gov/pubmed/27077857
http://dx.doi.org/10.3390/s16040516
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author Lu, Yu
Wang, Keyi
Fan, Gongshu
author_facet Lu, Yu
Wang, Keyi
Fan, Gongshu
author_sort Lu, Yu
collection PubMed
description A new compact large field of view (FOV) multi-camera system is introduced. The camera is based on seven tiny complementary metal-oxide-semiconductor sensor modules covering over 160° × 160° FOV. Although image stitching has been studied extensively, sensor and lens differences have not been considered in previous multi-camera devices. In this study, we have calibrated the photometric characteristics of the multi-camera device. Lenses were not mounted on the sensor in the process of radiometric response calibration to eliminate the influence of the focusing effect of uniform light from an integrating sphere. Linearity range of the radiometric response, non-linearity response characteristics, sensitivity, and dark current of the camera response function are presented. The R, G, and B channels have different responses for the same illuminance. Vignetting artifact patterns have been tested. The actual luminance of the object is retrieved by sensor calibration results, and is used to blend images to make panoramas reflect the objective luminance more objectively. This compensates for the limitation of stitching images that are more realistic only through the smoothing method. The dynamic range limitation of can be resolved by using multiple cameras that cover a large field of view instead of a single image sensor with a wide-angle lens. The dynamic range is expanded by 48-fold in this system. We can obtain seven images in one shot with this multi-camera system, at 13 frames per second.
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spelling pubmed-48510302016-05-04 Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System Lu, Yu Wang, Keyi Fan, Gongshu Sensors (Basel) Article A new compact large field of view (FOV) multi-camera system is introduced. The camera is based on seven tiny complementary metal-oxide-semiconductor sensor modules covering over 160° × 160° FOV. Although image stitching has been studied extensively, sensor and lens differences have not been considered in previous multi-camera devices. In this study, we have calibrated the photometric characteristics of the multi-camera device. Lenses were not mounted on the sensor in the process of radiometric response calibration to eliminate the influence of the focusing effect of uniform light from an integrating sphere. Linearity range of the radiometric response, non-linearity response characteristics, sensitivity, and dark current of the camera response function are presented. The R, G, and B channels have different responses for the same illuminance. Vignetting artifact patterns have been tested. The actual luminance of the object is retrieved by sensor calibration results, and is used to blend images to make panoramas reflect the objective luminance more objectively. This compensates for the limitation of stitching images that are more realistic only through the smoothing method. The dynamic range limitation of can be resolved by using multiple cameras that cover a large field of view instead of a single image sensor with a wide-angle lens. The dynamic range is expanded by 48-fold in this system. We can obtain seven images in one shot with this multi-camera system, at 13 frames per second. MDPI 2016-04-11 /pmc/articles/PMC4851030/ /pubmed/27077857 http://dx.doi.org/10.3390/s16040516 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
Lu, Yu
Wang, Keyi
Fan, Gongshu
Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System
title Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System
title_full Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System
title_fullStr Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System
title_full_unstemmed Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System
title_short Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System
title_sort photometric calibration and image stitching for a large field of view multi-camera system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851030/
https://www.ncbi.nlm.nih.gov/pubmed/27077857
http://dx.doi.org/10.3390/s16040516
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