New Stereo Matching Method Based on Improved BP Algorithm
By: Qian. Zhang, Shaomin Li, Y. Zhang, P. Wang and JF. Huang
Abstract
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.
DOI: https://doi.org/10.21307/ijssis-2017-767 | Journal eISSN: 1178-5608
Language: English
Page range: 464 - 479
Submitted on: Oct 6, 2014
Accepted on: Jan 20, 2015
Published on: Mar 1, 2015
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Related subjects:
© 2015 Qian. Zhang, Shaomin Li, Y. Zhang, P. Wang, JF. Huang, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.