Stereo Matching with Non - Linear Di usion DANIEL
نویسندگان
چکیده
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 di using support at di erent disparity hypotheses, and locally controlling the amount of di usion based on the current quality of the disparity estimate. It also develops a novel Bayesian estimation technique which signi cantly outperforms techniques based on area-based matching (SSD) and regular di usion. We provide experimental results on both synthetic and real stereo image pairs.
منابع مشابه
Stereo Matching with Non � Linear Di usion
One of the central problems in stereo matching and other image registration tasks is the selection of opti mal window sizes for comparing image regions This paper addresses this problem with some novel algo rithms based on iteratively di using support at dif ferent disparity hypotheses and locally controlling the amount of di usion based on the current quality of the disparity estimate It also ...
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