TY - GEN
T1 - Motion estimation byusing stereo vision analysis for underwater observation system
AU - Mazlan, Masyhuri Husna Binti
AU - Daisuke, Morisawa
AU - Yoshikazu, Koike
AU - Junji, Shimizu
AU - Eriko, Enomoto
AU - Noritaka, Hirohashi
AU - Etsuro, Shimizu
AU - Kunio, Sakata
N1 - Funding Information:
ACKNOWLEDGMENT We would like to thank Mr. Miyagawa, technical officer of Tokyo University of Marine Science and Technology and Mr. Nishizaki, technical officer of Oki Marine Biological Station, Shimane University. They have supported or experiments. The glass sphere is provided by Okamoto Glass Co. Ltd and the plastic cover is provided by Vacuum Mold Co. Ltd. We really appreciate the help for providing support for this research. This work was supported by JSPS KAKENHI Grant Number JP16730101.
Publisher Copyright:
© 2019 Institute of Electronics and Information Engineers (IEIE).
PY - 2019/5/3
Y1 - 2019/5/3
N2 - 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.
AB - 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.
KW - Motion detection
KW - SURF descriptor
KW - Stereo Vision
KW - Stereo triangulation
KW - Underwater Observation System
UR - http://www.scopus.com/inward/record.url?scp=85065888771&partnerID=8YFLogxK
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U2 - 10.23919/ELINFOCOM.2019.8706467
DO - 10.23919/ELINFOCOM.2019.8706467
M3 - Conference contribution
AN - SCOPUS:85065888771
T3 - ICEIC 2019 - International Conference on Electronics, Information, and Communication
BT - ICEIC 2019 - International Conference on Electronics, Information, and Communication
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Conference on Electronics, Information, and Communication, ICEIC 2019
Y2 - 22 January 2019 through 25 January 2019
ER -