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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmcce-15.2015.570
ID  - Ye2015/12
ER  -