Stereo Correspondence for Underwater Video Sequence Using Graph Cuts
In this paper, we introduce stereo correspondence method for underwater video sequence using Graph Cuts. The propagation property of light in the underwater causes variations in color information between two underwater video frames taken under same imaging conditions. To render the color values changed by the propagation property of light in the underwater environment, we use Markov Random Fields - Belief Propagation (MRF-BP) based approach for color correction. The conventional window-based correlation methods are often employed to estimate the disparity between the image pair, but these techniques are sensitive to illuminative variations, leads to fattening effect at the object boundaries and relatively lower performance in the featureless regions. Therefore, we employ energy minimization method such as Graph Cuts for the pair of color corrected underwater video frames to estimate disparity map. We compared and evaluated our approach qualitatively with well known window-based stereo correspondence techniques for the captured underwater video test frames. The experimental result reveals that our approach yields a visually suitable dense disparity map for the captured underwater video test frames compared to a window-based stereo correspondence techniques.
KeywordsUnderwater video sequence SSD SAD NCC ZNCC Graph cuts Disparity Map
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