Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor

In this paper, we propose possibility for reconstruction of surface of an underwater object or 3D scene reconstruction of an underwater environment using an economical RGB-D sensor such as Microsoft Kinect. Reconstructing the 3D surface of an underwater object is a challenging task due to degraded q...

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Main Authors: Anwer, A., Ali, S.S.A., Meriaudeau, F.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20222 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011982881&doi=10.1109%2fICIAS.2016.7824132&partnerID=40&md5=5de1eb740ae93e1e4acefa1b99d233bb
http://eprints.utp.edu.my/20222/
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recordtype eprints
spelling utp-eprints.202222018-04-22T14:46:15Z Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor Anwer, A. Ali, S.S.A. Meriaudeau, F. In this paper, we propose possibility for reconstruction of surface of an underwater object or 3D scene reconstruction of an underwater environment using an economical RGB-D sensor such as Microsoft Kinect. Reconstructing the 3D surface of an underwater object is a challenging task due to degraded quality of underwater images. There are various reasons of quality degradation of underwater images i.e., non-uniform illumination of light on the surface of objects, scattering and absorption effects. Particles and impurities present in underwater produces Gaussian noise on the captured underwater optical images which degrades the quality of images. However, using depth sensors, as a cost effective alternative, we aim to show that underwater 3D scene reconstruction is possible with sight tradeoffs on accuracy but major cost saving. The acquired depth data is proposed to be processed by applying real-time mesh generating techniques from the acquired point cloud. The experimental result aims to show that the proposed method reconstructs 3D surface of underwater objects accurately using captured underwater depth images. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011982881&doi=10.1109%2fICIAS.2016.7824132&partnerID=40&md5=5de1eb740ae93e1e4acefa1b99d233bb Anwer, A. and Ali, S.S.A. and Meriaudeau, F. (2017) Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20222/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this paper, we propose possibility for reconstruction of surface of an underwater object or 3D scene reconstruction of an underwater environment using an economical RGB-D sensor such as Microsoft Kinect. Reconstructing the 3D surface of an underwater object is a challenging task due to degraded quality of underwater images. There are various reasons of quality degradation of underwater images i.e., non-uniform illumination of light on the surface of objects, scattering and absorption effects. Particles and impurities present in underwater produces Gaussian noise on the captured underwater optical images which degrades the quality of images. However, using depth sensors, as a cost effective alternative, we aim to show that underwater 3D scene reconstruction is possible with sight tradeoffs on accuracy but major cost saving. The acquired depth data is proposed to be processed by applying real-time mesh generating techniques from the acquired point cloud. The experimental result aims to show that the proposed method reconstructs 3D surface of underwater objects accurately using captured underwater depth images. © 2016 IEEE.
format Article
author Anwer, A.
Ali, S.S.A.
Meriaudeau, F.
spellingShingle Anwer, A.
Ali, S.S.A.
Meriaudeau, F.
Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor
author_sort Anwer, A.
title Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor
title_short Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor
title_full Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor
title_fullStr Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor
title_full_unstemmed Underwater online 3D mapping and scene reconstruction using low cost kinect RGB-D sensor
title_sort underwater online 3d mapping and scene reconstruction using low cost kinect rgb-d sensor
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011982881&doi=10.1109%2fICIAS.2016.7824132&partnerID=40&md5=5de1eb740ae93e1e4acefa1b99d233bb
http://eprints.utp.edu.my/20222/
_version_ 1741196337331830784
score 11.62408

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