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Journal of Electronic Imaging

Fast multicamera video stitching for underwater wide field-of-view observation
Author(s): Qing-Zhong Li; Yang Zhang; Feng-Ni Zang
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Paper 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.

Paper Details

Date Published: 18 March 2014
PDF: 15 pages
J. Electron. Imaging. 23(2) 023008 doi: 10.1117/1.JEI.23.2.023008
Published in: Journal of Electronic Imaging Volume 23, Issue 2
Show Author Affiliations
Qing-Zhong Li, Ocean Univ. of China (China)
Yang Zhang, Ocean Univ. of China (China)
Feng-Ni Zang, Ocean Univ. of China (China)

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