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Special Issue "Underwater 3D Recording & Modelling"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 31 December 2019

Special Issue Editors

Guest Editor
Dr. Dimitrios Skarlatos

Department of Civil Engineering and Geomatics in Cyprus University of Technology, Cyprus
Website | E-Mail
Interests: Underwater, Image-Based Modelling, UAV, Mapping, Photogrammetry, Color Correction
Guest Editor
Dr. Fabio Bruno

University of Calabria, Rende, 87036 Cosenza, Italy
Website 1 | Website 2 | E-Mail
Phone: 0984/494623
Interests: underwater Imaging; data fusion; underwater vehicles; 3D modelling; virtual Reality; augmented Reality
Guest Editor
Dr. Fabio Menna

System and Vision Engineer – Innovation Department - COMEX, France
Website | E-Mail
Interests: Underwater, Photogrammetry, Metrology, 3D, Laser Scanning, Surveying, Calibration, Multi Sensor Integration
Guest Editor
Dr. Erica Nocerino

Post Doc Researcher at LIS, CCJ, Aix Marseille Univ, Université de Toulon, CNRS, Marseille, France
Theoretical Physics, ETH Zürich
Website | E-Mail
Interests: Photogrammetry; underwater; calibration; image processing; laser scanning; 3D modelling

Special Issue Information

Dear Colleagues,

Underwater (UW) 3D recording and modelling represent an open challenge for scientists and engineers in various disciplines. Sensors and algorithms developed and optimized for in-land applications are not best suited for the harsh conditions of the submerged environment. However, in the last years, we have been witnessing groundbreaking technological developments, which allow to measure, digitize, and study the underwater world with unprecedented accuracy and level of details. Photogrammetry-based approaches coupled with virtual and augmented reality (VR/AR) applications are becoming more and more diffuse in interdisciplinary communities, such as archeology, biology, industry. At the same time, acoustic and lidar sensors are leading the large-scale underwater mapping competition.

Motivated by this consideration, the current Special Issue aims to collect the best research papers that will be presented in the 2nd edition of the workshop ‘UNDERWATER 3D RECORDING & MODELLING’ organized in Limassol (Cyprus) on May 2–3, 2019, as well as to attract the latest contributions from the international community.

Authors are strongly encouraged to submit their works on innovative approaches, methodologies, and applications using acoustic, LiDAR, or image sensors in underwater photogrammetry, 3D reconstruction for VR and AR applications, cultural heritage and archaeology, 3D metrology, marine biology, 3D scanning, underwater platforms (ROV, robots, etc.), 4D modelling, bathymetry, sensor integration and data fusion, reference control, and accuracy assessment of underwater surveys.

Dr. Dimitrios Skarlatos
Dr. Fabio Bruno
Dr. Fabio Menna
Dr. Erica Nocerino
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Underwater 3D modelling
  • 3D metrology
  • Cultural heritage
  • Virtual and augmented reality
  • Bathymetry
  • Sensor fusion
  • ROV
  • 3D biological monitoring

Published Papers (1 paper)

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Research

Open AccessArticle Detecting Square Markers in Underwater Environments
Remote Sens. 2019, 11(4), 459; https://doi.org/10.3390/rs11040459
Received: 16 January 2019 / Revised: 15 February 2019 / Accepted: 18 February 2019 / Published: 23 February 2019
PDF Full-text (2768 KB) | HTML Full-text | XML Full-text
Abstract
Augmented reality can be deployed in various application domains, such as enhancing human vision, manufacturing, medicine, military, entertainment, and archeology. One of the least explored areas is the underwater environment. The main benefit of augmented reality in these environments is that it can [...] Read more.
Augmented reality can be deployed in various application domains, such as enhancing human vision, manufacturing, medicine, military, entertainment, and archeology. One of the least explored areas is the underwater environment. The main benefit of augmented reality in these environments is that it can help divers navigate to points of interest or present interesting information about archaeological and touristic sites (e.g., ruins of buildings, shipwrecks). However, the harsh sea environment affects computer vision algorithms and complicates the detection of objects, which is essential for augmented reality. This paper presents a new algorithm for the detection of fiducial markers that is tailored to underwater environments. It also proposes a method that generates synthetic images with such markers in these environments. This new detector is compared with existing solutions using synthetic images and images taken in the real world, showing that it performs better than other detectors: it finds more markers than faster algorithms and runs faster than robust algorithms that detect the same amount of markers. Full article
(This article belongs to the Special Issue Underwater 3D Recording & Modelling)
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