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Depth estimation of an underwater object using a single camera

Champion, Benjamin, Jamshidi, Mo and Joordens, Matthew 2017, Depth estimation of an underwater object using a single camera, in DesTech 2016: Proceedings of the International Conference on Design and Technology, Knowledge E, Dubai, U.A.E., pp. 112-119, doi: 10.18502/keg.v2i2.603.

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Title Depth estimation of an underwater object using a single camera
Author(s) Champion, Benjamin
Jamshidi, Mo
Joordens, MatthewORCID iD for Joordens, Matthew orcid.org/0000-0003-2253-4428
Conference name Design and Technology. International Conference (2016 : Geelong, Victoria)
Conference location Geelong, Victoria
Conference dates 2016/12/05 - 2016/12/08
Title of proceedings DesTech 2016: Proceedings of the International Conference on Design and Technology
Editor(s) Collins, Paul K.ORCID iD for Collins, Paul K. orcid.org/0000-0003-3308-8689
Gibson, IanORCID iD for Gibson, Ian orcid.org/0000-0002-4149-9122
Publication date 2017
Conference series Design and Technology International Conference
Start page 112
End page 119
Total pages 8
Publisher Knowledge E
Place of publication Dubai, U.A.E.
Keyword(s) underwater robotics
single camera depth
underwater object retrieval
Summary Underwater robotics is currently a growing field. To be able to autonomously find and collect objects on the land and in the air is a complicated problem, which is only compounded within the underwater setting. Different techniques have been developed over the years to attempt to solve this problem, many of which involve the use of expensive sensors. This paper explores a method to find the depth of an object within the underwater setting, using a single camera source and a known object. Once this known object has been found, information about other unknown objects surrounding this point can be determined, and therefore the objects can be collected.
ISSN 2518-6841
Language eng
DOI 10.18502/keg.v2i2.603
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30104748

Document type: Conference Paper
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.