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- Title
Stereo matching based on segmented B-spline surface fitting and accelerated region belief propagation.
- Authors
Jingzhou Huang
- Abstract
The authors propose a new stereo matching algorithm based on an iterative optimisation framework including bi-cubic B-spline surface fitting and accelerated region belief propagation (BP). They first compute the initial cost and disparity map by the adaptive support-weight approach and then launch the iterative process in which the disparity space image is refined via the bi-cubic B-spline fitting and optimised via the accelerated region BP. Two innovations are contained in the algorithm: (i) disparity space image refinement based on segmented bi-cubic B-spline surface fitting; and (ii) an accelerated region message passing approach for BP. The algorithm is verified on the Middlebury benchmark and experimental results show the algorithm is effective and achieves the state-of-the-art accuracy.
- Subjects
COMPUTER algorithms; MATHEMATICAL optimization; SPLINES; TECHNOLOGICAL innovations; COST analysis
- Publication
IET Computer Vision (Wiley-Blackwell), 2015, Vol 9, Issue 4, p456
- ISSN
1751-9632
- Publication type
Article
- DOI
10.1049/iet-cvi.2014.0166