Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Joint Bilateral Filter and Multi-Scale Cost Aggregation in Stereo Matching

Authors
You-ping Ye, Hong Zheng, Hao Chen, Yu Yang
Corresponding Author
You-ping Ye
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.570How to use a DOI?
Keywords
bilateral filter, multi-scale, stereo matching, cost aggregation
Abstract
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.

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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  -