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Depth estimation from stereo cameras through a curved transparent medium

Authors
Yoon, SeongwookChoi, TaehyeonSull, Sanghoon
Issue Date
1월-2020
Publisher
ELSEVIER
Keywords
Depth from stereo; Camera calibration; Refraction; Parametric surface model
Citation
PATTERN RECOGNITION LETTERS, v.129, pp.101 - 107
Indexed
SCIE
SCOPUS
Journal Title
PATTERN RECOGNITION LETTERS
Volume
129
Start Page
101
End Page
107
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/58407
DOI
10.1016/j.patrec.2019.11.012
ISSN
0167-8655
Abstract
In this paper, we propose a novel method for estimating depth values by stereo cameras through a curved transparent medium that causes refraction. Our method takes both the surface shape of the medium and the refraction into account. We model that the rays from the stereo cameras are refracted by a curved transparent medium whose inner surface is represented by a parametric model, assuming that the medium has constant thickness. The parameters of the model are estimated using a constrained optimization simply by attaching several markers on the inner surface. The depth value is then estimated by the triangulation considering the refraction based on the model. The experimental results show that our method yields consistently high error reduction rates with respect to the baseline method without considering the refraction caused by the medium. In addition, our method provides satisfactory estimates for various shapes of the medium. (C) 2019 Elsevier B.V. All rights reserved.
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공과대학 (전기전자공학부)
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