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About Accurate Real-Time Disparity Map Computation Based On Variable Support Window
This paper proposes a real-time dense stereo matching algorithm that uses a variable support window to compute accurate disparity maps. It introduces two improvements: 1) a new strategy to optimize the computation time of the initial disparity map, and 2) using pixel intensities and gradient magnitudes/orientations as similarity measures for matching scores, providing more accuracy. Experimental results on real data sets show the approach improves disparity map quality compared to state-of-the-art local stereo algorithms.
Detailed Information
| Author: | ['Adam Hansen'] |
|---|---|
| Publication Year: | 2011 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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