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Fast multicamera video stitching for underwater wide field-of-view observation

[+] Author Affiliations
Qing-Zhong Li

Ocean University of China, Shandong Provincial Key Laboratory of Ocean Engineering, 238 Song Ling Road, Qingdao 266100, China

Yang Zhang

Ocean University of China, Shandong Provincial Key Laboratory of Ocean Engineering, 238 Song Ling Road, Qingdao 266100, China

Feng-Ni Zang

Ocean University of China, Shandong Provincial Key Laboratory of Ocean Engineering, 238 Song Ling Road, Qingdao 266100, China

J. Electron. Imaging. 23(2), 023008 (Mar 18, 2014). doi:10.1117/1.JEI.23.2.023008
History: Received October 28, 2013; Revised February 6, 2014; Accepted February 11, 2014
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Abstract.  Underwater robots equipped with a single forward-looking camera usually have a very limited visual range or field-of-view (FOV) due to the light absorption and scattering effects in the underwater environment, which greatly limit their applications for underwater video-based inspection, navigation, and so on. Although underwater robots using multicamera imaging systems can achieve wide FOV of surroundings, parallax distortion and time-consuming stitching computation are encountered, especially for short-distance observation. To overcome these problems, we present a fast multicamera video-stitching algorithm based on adaptive adjustment of image transformation matrix between adjacent images. The proposed method uses a fast and adaptive optimization algorithm to search the optimal parameters of transformation matrix that can minimize the parallax distortion due to short-distance imaging and maximize the matching degree between adjacent overlapping image areas. The advantage of the proposed stitching method lies in that it avoids the complex and time-consuming computations for feature-point extraction and matching. The experimental results show that the proposed method can construct multicamera-based wide FOV video effectively and meets the real-time requirement of wide FOV video observation for both indoor and underwater scenes.

© 2014 SPIE and IS&T

Citation

Qing-Zhong Li ; Yang Zhang and Feng-Ni Zang
"Fast multicamera video stitching for underwater wide field-of-view observation", J. Electron. Imaging. 23(2), 023008 (Mar 18, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.2.023008


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