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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 1, Pages 464-479, DOI: https://doi.org/10.21307/ijssis-2017-767
License : (CC BY-NC-ND 4.0)
Received Date : 06-October-2014 / Accepted: 20-January-2015 / Published Online: 01-March-2015
As stereo matching methods are widely used in computer vision and stereo reconstruction, from the perspective of improving the matching accuracy, this paper focuses on the global optimization algorithm. An improved stereo matching method based on 8- neighbor Belief Propagation method is proposed in this paper, by involving more pixels into information transmission, our method improves the accuracy of stereo matching. The experimental results verify the efficiency and reliability of our method.
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