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

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 .

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....


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.

Item Type:Article
Impact Factor:cited By 0
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:20222
Deposited By: Ahmad Suhairi
Deposited On:22 Apr 2018 14:46
Last Modified:22 Apr 2018 14:46

Repository Staff Only: item control page