Stereo Matching with Nonlinear Diffusion

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Stereo Matching with Nonlinear Diffusion
One of the central problems in stereo matching (and other image registration tasks) is the selection of optimal window sizes for comparing image regions. This paper addresses this problem with some novel algorithms based on iteratively diffusing support at different disparity hypotheses, and locally controlling the amount of diffusion based on the current quality of the disparity estimate. It also develops a novel Bayesian estimation technique, which significantly outperforms techniques based on area-based matching (SSD) and regular diffusion. We provide experimental results on both synthetic and real stereo image pairs.
Daniel Scharstein, Richard Szeliski
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 1998
Where IJCV
Authors Daniel Scharstein, Richard Szeliski
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