Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Reconstruction with Underwater Stereo Vision

Authors
Lin Gui, Zhiqiang Wei, Bo Yin, Lei Huang
Corresponding Author
Lin Gui
Available Online May 2014.
DOI
https://doi.org/10.2991/lemcs-14.2014.227How to use a DOI?
Keywords
Underwater; Stereo vision; Reconstruction; Flat housing; Refraction
Abstract
Conventional multi-view theory fails to explain underwater stereo vision because of the refraction bends light rays. This paper focuses on one of the most common scenarios of underwater vision, a stereo vision system of two cameras with a flat housing, in which the light ray refracts twice, once at the air-housing interface, and once at the housing-water interface. The paper models the geometry of the light propagation explicitly. Under the principle of light ray’s reversibility, discussion on one camera’s view in 2D follows the backward projection by casting a light ray from the camera center to the object point. After the entire light ray’s coplanarity is proved, the 2D case extends to 3D space easily. In 3D case, computation of object point from the casted ray is derived from the stereo view model. An 3D reconstruction algorithm is also proposed. The algorithm is concise and feasible because no particular configuration or additional device is required. It is proved accurate and low error rate in the experiment.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.227How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lin Gui
AU  - Zhiqiang Wei
AU  - Bo Yin
AU  - Lei Huang
PY  - 2014/05
DA  - 2014/05
TI  - Reconstruction with Underwater Stereo Vision
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.227
DO  - https://doi.org/10.2991/lemcs-14.2014.227
ID  - Gui2014/05
ER  -