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Authors: Bo-Yang Zhuo and Huei-Yung Lin

Affiliation: Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan

Keyword(s): Stereo Matching, Zooming, Disparity, Optical Zoom.

Abstract: This paper investigates a stereo matching approach incorporated with the zooming information. Conventional stereo vision algorithms take one pair of images for correspondence matching, while our proposed method adopts two zoom lens cameras to acquire multiple stereo image pairs with zoom changes. These image sequences are able to provide more accurate results for stereo matching algorithms. The new framework makes the rectified images compliant with the zoom characteristics by the definition of the relationship between the left and right images. Our approach can be integrated with existing stereo matching algorithms under some requirements and adjustments. In the experiments, we test the proposed framework on 2014 Middlebury benchmark dataset and our own zoom image dataset. The results have demonstrated the improvement of disparity computation of the our technique.

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Paper citation in several formats:
Zhuo, B. and Lin, H. (2020). Cooperative Stereo-Zoom Matching for Disparity Computation. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 157-164. DOI: 10.5220/0008877001570164

@conference{visapp20,
author={Bo{-}Yang Zhuo. and Huei{-}Yung Lin.},
title={Cooperative Stereo-Zoom Matching for Disparity Computation},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008877001570164},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Cooperative Stereo-Zoom Matching for Disparity Computation
SN - 978-989-758-402-2
IS - 2184-4321
AU - Zhuo, B.
AU - Lin, H.
PY - 2020
SP - 157
EP - 164
DO - 10.5220/0008877001570164
PB - SciTePress