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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Roser, M. Dunbabin, M. Geiger, A. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Meas. & Control, Karlsruhe Inst. of Technol., Karlsruhe, Germany (Roser, M.; Geiger, A.) || Inst. for Future Environments, Queensland Univ. of Technol., Brisbane, QLD, Australia (Dunbabin, M.) |
| Abstract | Vision-based underwater navigation and obstacle avoidance demands robust computer vision algorithms, particularly for operation in turbid water with reduced visibility. This paper describes a novel method for the simultaneous underwater image quality assessment, visibility enhancement and disparity computation to increase stereo range resolution under dynamic, natural lighting and turbid conditions. The technique estimates the visibility properties from a sparse 3D map of the original degraded image using a physical underwater light attenuation model. Firstly, an iterated distance-adaptive image contrast enhancement enables a dense disparity computation and visibility estimation. Secondly, using a light attenuation model for ocean water, a color corrected stereo underwater image is obtained along with a visibility distance estimate. Experimental results in shallow, naturally lit, high-turbidity coastal environments show the proposed technique improves range estimation over the original images as well as image quality and color for habitat classification. Furthermore, the recursiveness and robustness of the technique allows implementation onboard an Autonomous Underwater Vehicle for improving navigation and obstacle avoidance performance. |
| Starting Page | 3840 |
| Ending Page | 3847 |
| File Size | 3431879 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479936854 |
| DOI | 10.1109/ICRA.2014.6907416 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-31 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Attenuation Estimation Lighting Image enhancement Three-dimensional displays Oceans |
| Content Type | Text |
| Resource Type | Article |
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