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Authors: Yong-Jun Chang 1 ; Sojin Kim 2 and Moongu Jeon 3

Affiliations: 1 School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea ; 2 Korea Culture Technology Institute (KCTI), Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea ; 3 School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea, Korea Culture Technology Institute (KCTI), Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea

ISBN: 978-989-758-402-2

ISSN: 2184-4321

Keyword(s): Stereo Matching, Color Formation Model, Local Binary Patch, Radiometric Variation.

Abstract: Many stereo matching methods show quite accurate results from depth estimation for images captured under the same lighting conditions. However, the lighting conditions of the stereo image are not the same in the real video shooting environment. Therefore, stereo matching, which estimates depth information by searching corresponding points between two images, has difficulty in obtaining accurate results in this case. Some algorithms have been proposed to overcome this problem and have shown good performance. However, those algorithms require a large amount of computation. For this reason, they have a disadvantage of poor matching efficiency. In this paper, we propose an efficient stereo matching method using a color formation model that takes into account exposure and illumination changes of captured images. Our method changes an input image to a radiometric invariant image and also applies a local binary patch, which is robust to lighting changes, to the transformed image according to exposure and illumination changes to improve the matching speed. (More)

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Paper citation in several formats:
Chang, Y.; Kim, S. and Jeon, M. (2020). Efficient Stereo Matching Method using Elimination of Lighting Factors under Radiometric Variation.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, ISSN 2184-4321, pages 775-782. DOI: 10.5220/0008945307750782

@conference{visapp20,
author={Yong{-}Jun Chang. and Sojin Kim. and Moongu Jeon.},
title={Efficient Stereo Matching Method using Elimination of Lighting Factors under Radiometric Variation},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2020},
pages={775-782},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008945307750782},
isbn={978-989-758-402-2},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Efficient Stereo Matching Method using Elimination of Lighting Factors under Radiometric Variation
SN - 978-989-758-402-2
AU - Chang, Y.
AU - Kim, S.
AU - Jeon, M.
PY - 2020
SP - 775
EP - 782
DO - 10.5220/0008945307750782

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