Cost Adaptive Window for Local Stereo Matching

J. Navarro; A. Buades

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Paper

Cost Adaptive Window for Local Stereo Matching

Topics: Stereo Vision and Structure from Motion

In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, 369-376, 2017 , Porto, Portugal

Authors: J. Navarro and A. Buades

Affiliation: Universitat Illes Balears, Spain

Keyword(s): Stereovision, Depth Estimation, Block-matching, Adaptive Windows.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion

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.

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Paper citation in several formats:

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 (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 369-376. DOI: 10.5220/0006100503690376

@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 (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={369-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006100503690376},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - Cost Adaptive Window for Local Stereo Matching
SN - 978-989-758-227-1
IS - 2184-4321
AU - Navarro, J.
AU - Buades, A.
PY - 2017
SP - 369
EP - 376
DO - 10.5220/0006100503690376
PB - SciTePress