Cooperative Stereo-Zoom Matching for Disparity Computation

Bo-Yang Zhuo, Huei-Yung Lin

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 Harvard Style

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 - Volume 4: VISAPP, ISBN 978-989-758-402-2, pages 157-164. DOI: 10.5220/0008877001570164


in Bibtex Style

@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 - Volume 4: VISAPP,},
year={2020},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008877001570164},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

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