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Underwater 3D reconstruction based on multi-view stereo
Gu, Feifei1,2; Zhao, Juan1,2; Xu, Pei1,3; Huang, Shulan1,4; Zhang, Gaopeng5,6; Song, Zhan1,2
2018
Conference NameInternational Symposium on Optoelectronic Technology and Application 2018: Ocean Optics and Information Technology, OTA 2018
Source PublicationOcean Optics and Information Technology
Volume891
Pages10-16
Conference Date2018-05-22
Conference PlaceBeijing, China
PublisherSPIE
Contribution Rank6
Abstract3D measurement of underwater targets could recover 3D morphology of objects/scenes in water, which has extensive application prospects in the fields of submarine map drawing, underwater resource exploration, and marine archaeology et al. 3D reconstruction based on stereoscopic vision is playing a more and more important role in the field of measurement due to its incomparable advantages, such as high automation, rapid accuracy and non-contact. However, its application in underwater target detection is limited by the complex underwater environment, the absorption and scattering of light in the water and so on, which will seriously affect the quality of the image collection. In this paper, a 3D reconstruction method of underwater target based on multi view stereo vision technology was studied. A 3D profilometry system which works underwater was set up. The collection of multi-view image data is completed by a single camera and a rotating device. Firstly, camera's back projection model is used to calibrate the motion and parameters of the underwater vision system. Secondly, the underwater target is fixed on the rotating device, and a series of images under different viewpoints are collected. Then, feature detection and matching were carried out, and dense surface point clouds were generated by several steps of expansion and filtering operations. Finally, based on the generated dense point cloud, the 3D geometric mesh model of the target is obtained by using the Poisson reconstruction method. Color and texture are fused into the 3D mesh model to get the target with high fidelity. © 2018 SPIE.
Department动态光学成像研究室
DOI10.1117/12.2505296
Indexed ByEI
ISBN9781510623422
Language英语
ISSN0277786X;1996773X
EI Accession Number20185206315930
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31151
Collection动态光学成像研究室
Affiliation1.Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Guangdong, China;
2.Chinese University of Hong Kong, Hong Kong, China;
3.School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi, China;
4.Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Guangdong, China;
5.State Key Laboratory Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China;
6.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, Shaanxi, China
Recommended Citation
GB/T 7714
Gu, Feifei,Zhao, Juan,Xu, Pei,et al. Underwater 3D reconstruction based on multi-view stereo[C]:SPIE,2018:10-16.
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