Motion estimation byusing stereo vision analysis for underwater observation system

Masyhuri Husna Binti Mazlan, Morisawa Daisuke, Yoshikazu Koike, Shimizu Junji, Enomoto Eriko, Hirohashi Noritaka, Shimizu Etsuro, Sakata Kunio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, motion estimation by using stereo vision analysis for underwater observation system (UOS) is presented. We developed a free-fall type UOS which was built with a glass sphere named Gyogyotto Camera. The UOS is employed to observe the underwater environment using the camera built inside of the glass sphere. The recorded images are used for stereo vision analysis to detect the motion estimation of the UOS. The proposed motion estimation uses Speed Up Robust Feature (SURF), stereo triangulation and Iterative Closest Point (ICP) algorithm. At first, calibration result with or without glass sphere on the land is described. The calibration result for underwater is also presented. Comparing the obtained results, we discussed the influence of the glass sphere. Moreover, we tried to estimate the motion of the camera by using the proposed method on the land and discuss the effective extraction of the feature points for underwater environment.

Original languageEnglish
Title of host publicationICEIC 2019 - International Conference on Electronics, Information, and Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788995004449
DOIs
Publication statusPublished - 2019 May 3
Event18th International Conference on Electronics, Information, and Communication, ICEIC 2019 - Auckland, New Zealand
Duration: 2019 Jan 222019 Jan 25

Publication series

NameICEIC 2019 - International Conference on Electronics, Information, and Communication

Conference

Conference18th International Conference on Electronics, Information, and Communication, ICEIC 2019
CountryNew Zealand
CityAuckland
Period19/1/2219/1/25

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Keywords

  • Motion detection
  • Stereo triangulation
  • Stereo Vision
  • SURF descriptor
  • Underwater Observation System

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Mazlan, M. H. B., Daisuke, M., Koike, Y., Junji, S., Eriko, E., Noritaka, H., ... Kunio, S. (2019). Motion estimation byusing stereo vision analysis for underwater observation system. In ICEIC 2019 - International Conference on Electronics, Information, and Communication [8706467] (ICEIC 2019 - International Conference on Electronics, Information, and Communication). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2019.8706467