Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Metal recovery in mobile phone waste: Characterization of metal composition and economic assessment through shredding and screening processes.

Waste management (New York, N.Y.)·2025
Same author

Efficacy/Safety of the Use of Glucocorticoids in Oral and Maxillofacial Surgery.

Dentistry journal·2023
Same author

Managed Surge Controller: A Docking Algorithm for a Non-Holonomic AUV (Sparus II) in the Presence of Ocean Currents for a Funnel-Shaped Docking Station.

Sensors (Basel, Switzerland)·2023
Same author

Editorial: AI processing of UAV acquired images for pattern monitoring in natural and urban environments.

Frontiers in robotics and AI·2022
Same author

Collision Detection and Avoidance for Underwater Vehicles Using Omnidirectional Vision.

Sensors (Basel, Switzerland)·2022
Same author

Interactions of cytosolic tails in the Jen1 carboxylate transporter are critical for trafficking and transport activity.

Journal of cell science·2022

Related Experiment Video

Updated: Apr 16, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.9K

Omnidirectional underwater camera design and calibration.

Josep Bosch1, Nuno Gracias2, Pere Ridao3

  • 1Computer Vision and Robotics Group, Centre d'Investigació en Robòtica Submarina, Parc Científic i Tecnològic, Universitat de Girona, 17003 Girona, Spain. j.bosch@udg.edu.

Sensors (Basel, Switzerland)
|March 17, 2015
PubMed
Summary
This summary is machine-generated.

This study developed an underwater omnidirectional multi-camera system (OMS) by adapting a land-based camera. A novel ray tracing method and calibration process accurately model underwater optical distortions for improved imaging.

More Related Videos

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.7K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.9K

Related Experiment Videos

Last Updated: Apr 16, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.9K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.7K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.9K

Area of Science:

  • Robotics and Computer Vision
  • Optical Engineering
  • Marine Technology

Background:

  • Standard camera calibration models fail underwater due to refraction, especially with wide-angle lenses.
  • Custom housings for underwater omnidirectional multi-camera systems (OMS) introduce significant optical distortions.
  • Accurate 3D scene reconstruction and environmental monitoring require robust underwater imaging solutions.

Purpose of the Study:

  • To develop and validate an underwater omnidirectional multi-camera system (OMS).
  • To present a comprehensive calibration method for intrinsic and extrinsic parameters, accommodating wide-angle lenses and non-overlapping cameras.
  • To introduce a ray tracing approach for simulating underwater camera fields-of-view (FOV) and optimizing housing design.

Main Methods:

  • Adaptation of a commercial six-camera OMS for underwater applications.
  • Development of a full calibration method including intrinsic and extrinsic parameter estimation.
  • Implementation of a ray tracing-based FOV simulator to model optical distortions caused by housing and refraction.
  • Design and testing of a compact custom housing for the OMS.
  • A three-stage calibration process for estimating all relevant camera parameters.

Main Results:

  • Successful adaptation of a commercial OMS for underwater use with a custom housing.
  • Demonstration of a calibration method effective for wide-angle lenses and non-overlapping cameras in water.
  • Validation of the ray tracing simulator for predicting and mitigating underwater optical distortions.
  • Experimental results confirm the performance and accuracy of the proposed calibration approach.

Conclusions:

  • The developed underwater OMS, coupled with the advanced calibration technique, provides accurate and reliable imaging in aquatic environments.
  • The ray tracing simulator is a valuable tool for designing and optimizing underwater camera systems.
  • This work offers a robust solution for underwater perception tasks requiring a full hemispherical view.