An Adaptive Window Stereo Matching Based on Gradient

DOI

10.2991/eeic-13.2013.103How to use a DOI?

Keywords

stereo matching; adaptive window; disparity map

Abstract

The key of local matching algorithm is the selection of similarity measure function and window’s size, this paper through the two aspects to do improvement. Due to the traditional adaptive window algorithm is relatively complex, this paper extracted a relatively simple adaptive window algorithm, that is to say the window size based on the gradient points, and adopt a new measure function instead of the SAD function, not only to reduce noise effects but also to improve matching accuracy. In addition, in order to get a better disparity map, we adopt a regional seed propagation method which based on smooth constraint and a hypothesis that adjacent pixels with similar color should have the same disparity. Experiments show that the algorithm is compared with the traditional matching algorithm of adaptive window, computational complexity is reduced and the matching accuracy improved.

Copyright

© 2013, 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  - Yan He
AU  - Pei Wang
AU  - Jie Fu
PY  - 2013/12
DA  - 2013/12
TI  - An Adaptive Window Stereo Matching Based on Gradient
BT  - Proceedings of the 3rd International Conference on Electric and Electronics
PB  - Atlantis Press
SP  - 437
EP  - 440
SN  - 1951-6851
UR  - https://doi.org/10.2991/eeic-13.2013.103
DO  - 10.2991/eeic-13.2013.103
ID  - He2013/12
ER  -