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Improving subpixel stereo matching with segment evolution

10 years 22 days ago
Improving subpixel stereo matching with segment evolution
Segmentation-based approach has shown significant success in stereo matching. By assuming pixels within one image segment belong to the same 3D surface, robust depth estimation can be achieved by taking the whole segment into consideration. However, segmentation has been mostly used for stereo matching at integer disparities rather than subpixel disparities. One major reason is that small segments may be insufficient for estimating surfaces like slanted planes, while large segments may contain segmentation errors impacting the accuracy of depth estimation. In this work, we propose a segmentation-based scheme for subpixel stereo matching. Instead of using a fixed segmentation, segments are evolved to find a better support for reliable surface estimation. Given an initial estimation of segmentation and depth, the proposed algorithm jointly optimizes the segmentation and depth by evolving the segmentation at the pixel level and updating the plane parameters at the segment level. Justifie...
Yao-Jen Chang, Hung-Hsun Liu, Tsuhan Chen
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICIP
Authors Yao-Jen Chang, Hung-Hsun Liu, Tsuhan Chen
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