Omnidirectional Underwater Camera Design and Calibration

This paper presents the development of an underwater omnidirectional multi-camera system (OMS) based on a commercially available six-camera system, originally designed for land applications. A full calibration method is presented for the estimation of both the intrinsic and extrinsic parameters, whi...

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Bibliographic Details
Main Authors: Josep Bosch, Nuno Gracias, Pere Ridao, David Ribas
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Sensors
Subjects:
OMS
Online Access:http://www.mdpi.com/1424-8220/15/3/6033
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spelling doaj-6f035c8939ab4fe99ff437a9fdb9c29f2020-11-25T02:28:57ZengMDPI AGSensors1424-82202015-03-011536033606510.3390/s150306033s150306033Omnidirectional Underwater Camera Design and CalibrationJosep Bosch0Nuno Gracias1Pere Ridao2David Ribas3Computer Vision and Robotics Group, Centre d’Investigació en Robòtica Submarina, Parc Científic i Tecnològic, Universitat de Girona, 17003 Girona, SpainComputer Vision and Robotics Group, Centre d’Investigació en Robòtica Submarina, Parc Científic i Tecnològic, Universitat de Girona, 17003 Girona, SpainComputer Vision and Robotics Group, Centre d’Investigació en Robòtica Submarina, Parc Científic i Tecnològic, Universitat de Girona, 17003 Girona, SpainComputer Vision and Robotics Group, Centre d’Investigació en Robòtica Submarina, Parc Científic i Tecnològic, Universitat de Girona, 17003 Girona, SpainThis paper presents the development of an underwater omnidirectional multi-camera system (OMS) based on a commercially available six-camera system, originally designed for land applications. A full calibration method is presented for the estimation of both the intrinsic and extrinsic parameters, which is able to cope with wide-angle lenses and non-overlapping cameras simultaneously. This method is valid for any OMS in both land or water applications. For underwater use, a customized housing is required, which often leads to strong image distortion due to refraction among the different media. This phenomena makes the basic pinhole camera model invalid for underwater cameras, especially when using wide-angle lenses, and requires the explicit modeling of the individual optical rays. To address this problem, a ray tracing approach has been adopted to create a field-of-view (FOV) simulator for underwater cameras. The simulator allows for the testing of different housing geometries and optics for the cameras to ensure a complete hemisphere coverage in underwater operation. This paper describes the design and testing of a compact custom housing for a commercial off-the-shelf OMS camera (Ladybug 3) and presents the first results of its use. A proposed three-stage calibration process allows for the estimation of all of the relevant camera parameters. Experimental results are presented, which illustrate the performance of the calibration method and validate the approach.http://www.mdpi.com/1424-8220/15/3/6033omnidirectionalunderwatercameracalibrationhousingOMSimage stitchingimage blendingpanorama construction
collection DOAJ
language English
format Article
sources DOAJ
author Josep Bosch
Nuno Gracias
Pere Ridao
David Ribas
spellingShingle Josep Bosch
Nuno Gracias
Pere Ridao
David Ribas
Omnidirectional Underwater Camera Design and Calibration
Sensors
omnidirectional
underwater
camera
calibration
housing
OMS
image stitching
image blending
panorama construction
author_facet Josep Bosch
Nuno Gracias
Pere Ridao
David Ribas
author_sort Josep Bosch
title Omnidirectional Underwater Camera Design and Calibration
title_short Omnidirectional Underwater Camera Design and Calibration
title_full Omnidirectional Underwater Camera Design and Calibration
title_fullStr Omnidirectional Underwater Camera Design and Calibration
title_full_unstemmed Omnidirectional Underwater Camera Design and Calibration
title_sort omnidirectional underwater camera design and calibration
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-03-01
description This paper presents the development of an underwater omnidirectional multi-camera system (OMS) based on a commercially available six-camera system, originally designed for land applications. A full calibration method is presented for the estimation of both the intrinsic and extrinsic parameters, which is able to cope with wide-angle lenses and non-overlapping cameras simultaneously. This method is valid for any OMS in both land or water applications. For underwater use, a customized housing is required, which often leads to strong image distortion due to refraction among the different media. This phenomena makes the basic pinhole camera model invalid for underwater cameras, especially when using wide-angle lenses, and requires the explicit modeling of the individual optical rays. To address this problem, a ray tracing approach has been adopted to create a field-of-view (FOV) simulator for underwater cameras. The simulator allows for the testing of different housing geometries and optics for the cameras to ensure a complete hemisphere coverage in underwater operation. This paper describes the design and testing of a compact custom housing for a commercial off-the-shelf OMS camera (Ladybug 3) and presents the first results of its use. A proposed three-stage calibration process allows for the estimation of all of the relevant camera parameters. Experimental results are presented, which illustrate the performance of the calibration method and validate the approach.
topic omnidirectional
underwater
camera
calibration
housing
OMS
image stitching
image blending
panorama construction
url http://www.mdpi.com/1424-8220/15/3/6033
work_keys_str_mv AT josepbosch omnidirectionalunderwatercameradesignandcalibration
AT nunogracias omnidirectionalunderwatercameradesignandcalibration
AT pereridao omnidirectionalunderwatercameradesignandcalibration
AT davidribas omnidirectionalunderwatercameradesignandcalibration
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