Underwater 3D Reconstruction from Video or Still Imagery: Matisse and 3DMetrics Processing and Exploitation Software

Author:

Arnaubec Aurélien1ORCID,Ferrera Maxime1ORCID,Escartín Javier2ORCID,Matabos Marjolaine3ORCID,Gracias Nuno4ORCID,Opderbecke Jan1

Affiliation:

1. Ifremer, Ctr Mediterranee, Unité Systemes Marins, 83500 La Seyne sur Mer, France

2. Laboratoire de Géologie, CNRS UMR8538, ENS, PSL University, 75231 Paris, France

3. Ifremer, CNRS, Université de Brest, Unité BEEP, 29280 Plouzané, France

4. Computer Vision and Robotics Institute, VICOROB/CIRS, University of Girona, 17003 Girona, Spain

Abstract

This paper addresses the lack of “push-button” software for optical marine imaging, which currently limits the use of photogrammetric approaches by a wider community. It presents and reviews an open source software, Matisse, for creating textured 3D models of complex underwater scenes from video or still images. This software, developed for non-experts, enables routine and efficient processing of underwater images into 3D models that facilitate the exploitation and analysis of underwater imagery. When vehicle navigation data are available, Matisse allows for seamless integration of such data to produce 3D reconstructions that are georeferenced and properly scaled. The software includes pre-processing tools to extract images from videos and to make corrections for color and uneven lighting. Four datasets of different 3D scenes are provided for demonstration. They include both input images and navigation and associated 3D models generated with Matisse. The datasets, captured under different survey geometries, lead to 3D models of different sizes and demonstrate the capabilities of the software. The software suite also includes a 3D scene analysis tool, 3DMetrics, which can be used to visualize 3D scenes, incorporate elevation terrain models (e.g., from high-resolution bathymetry data) and manage, extract, and export quantitative measurements for the 3D data analysis. Both software packages are publicly available.

Funder

Ifremer PSI grant scheme

ANR Sersurf

CNRS/INSU

European Union’s Horizon 2020 research and innovation project iAtlantic

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference64 articles.

1. Currents and topography drive assemblage distribution on an active hydrothermal edifice;Girard;Prog. Oceanogr.,2020

2. Detailed Mapping of Hydrothermal Vent Fauna: A 3D Reconstruction Approach Based on Video Imagery;Gerdes;Front. Mar. Sci.,2019

3. Garcia, R., Gracias, N., Nicosevici, T., Prados, R., Hurtos, N., Campos, R., Escartin, J., Elibol, A., and Hegedus, R. (2017). Computer Vision in Vehicle Technology: Land, Sea & Air, John Wiley & Sons Ltd.

4. Structure, temporal evolution, and heat flux estimates from the Lucky Strike deep-sea hydrothermal field derived from seafloor image mosaics;Barreyre;Geochem. Geophys. Geosyst.,2012

5. Biometric assessment of deep-sea vent megabenthic communities using multi-resolution 3D image reconstructions;Thornton;Deep Sea Res. Part I Oceanogr. Res. Pap.,2016

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3