Abstract
We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras. Dense background disparity information i calculated in an initialization step, so that only disparities of moving object regions are updated in the main process. We propose a real-time segmentation technique using background subtraction and interframe differences, and a hierarchical disparity estimation using a region-dividing technique and shape-adaptive matching windows. Experimental results show that the proposed algorithm provides accurate disparity vector fields with an average processing speed of 15 frames/s for x 320 × 240 stereo sequences on an ordinary PC.
Original language | English |
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Article number | 037402 |
Journal | Optical Engineering |
Volume | 45 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2006 |
Keywords
- Adaptive window
- Foreground segmentation
- Real-time disparity estimation
- Stereo matching