Cost Adaptive Window for Local Stereo Matching

J. Navarro, A. Buades

2017

Abstract

We present a novel stereo block-matching algorithm which uses adaptive windows. The shape of the window is selected to minimize the matching cost. Such a window might be the less distorted by the disparity function and thus the optimal one for matching. Moreover, we introduce a coarse-to-fine strategy to limit the number of ambiguous matches and reduce the computational cost. The proposed approach performs as state of the art local matching methods.

Paper Citation

in Harvard Style

Navarro J. and Buades A. (2017). Cost Adaptive Window for Local Stereo Matching . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 369-376. DOI: 10.5220/0006100503690376

in Bibtex Style

@conference{visapp17,
author={J. Navarro and A. Buades},
title={Cost Adaptive Window for Local Stereo Matching},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={369-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006100503690376},
isbn={978-989-758-227-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - Cost Adaptive Window for Local Stereo Matching
SN - 978-989-758-227-1
AU - Navarro J.
AU - Buades A.
PY - 2017
SP - 369
EP - 376
DO - 10.5220/0006100503690376