Joint Bilateral Filter and Multi-Scale Cost Aggregation in Stereo Matching
You-ping Ye, Hong Zheng, Hao Chen, Yu Yang
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.570How to use a DOI?
- bilateral filter, multi-scale, stereo matching, cost aggregation
- Dense correspondence is a key problem in binocular stereo vision. The existing solution for this problem can be divided into local method and global or semi-global method. Bilaterally weighted patches matching is a classical local method, while it is computationally expensive and its accuracy need to be improved. In this paper, a new method is proposed which uses bilaterally weighted method to calculate matching cost and multi-scale method to produce cost aggregation. Use Gauss down-sampling method to produce multi-scale image, calculate matching cost in every sample scale. Then add inter-scale regularization into optimization function and solve the new optimization problem. This new algorithm is evaluated on Middlebury dataset, and it presents significant improvement than single bilaterally weighted method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - You-ping Ye AU - Hong Zheng AU - Hao Chen AU - Yu Yang PY - 2015/12 DA - 2015/12 TI - Joint Bilateral Filter and Multi-Scale Cost Aggregation in Stereo Matching BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.570 DO - https://doi.org/10.2991/icmmcce-15.2015.570 ID - Ye2015/12 ER -