Epipolar geometry and stereo matching algorithm for underwater fish-eye images

A fish-eye lens achieves a large field of view at the cost of image distortion, and underwater imaging by a fish-eye lens introduces refraction when light passes through the different medium. To obtain three-dimensional information, under these circumstances, a stereo matching algorithm is proposed...

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Main Authors: Yaqian Li, Yakun Zhang, Haibin Li, Wenming Zhang, Qiang Zhang
Format: Article
Language:English
Published: SAGE Publishing 2018-03-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881418764715
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author Yaqian Li
Yakun Zhang
Haibin Li
Wenming Zhang
Qiang Zhang
author_facet Yaqian Li
Yakun Zhang
Haibin Li
Wenming Zhang
Qiang Zhang
author_sort Yaqian Li
collection DOAJ
description A fish-eye lens achieves a large field of view at the cost of image distortion, and underwater imaging by a fish-eye lens introduces refraction when light passes through the different medium. To obtain three-dimensional information, under these circumstances, a stereo matching algorithm is proposed that analyzes the geometric characteristics of an underwater fish-eye image, taking into account distortion and refraction. First, the underwater imaging model of a stereo fish-eye camera is established, and the epipolar curve of the underwater fish-eye image is calculated. Then, in the matching step, an adaptive window based on mean-shift segmentation is proposed to further alleviate the impact of distortion. Experiments are performed on synthetic images and natural scene images. The results show that the proposed model and the calculated epipolar curve are effective and that the adaptive window method could improve the precision of stereo matching on underwater fish-eye images.
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spelling doaj.art-2c7655eea53a4a42a1fd37f97ffeb54c2022-12-22T01:07:13ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142018-03-011510.1177/1729881418764715Epipolar geometry and stereo matching algorithm for underwater fish-eye imagesYaqian LiYakun ZhangHaibin LiWenming ZhangQiang ZhangA fish-eye lens achieves a large field of view at the cost of image distortion, and underwater imaging by a fish-eye lens introduces refraction when light passes through the different medium. To obtain three-dimensional information, under these circumstances, a stereo matching algorithm is proposed that analyzes the geometric characteristics of an underwater fish-eye image, taking into account distortion and refraction. First, the underwater imaging model of a stereo fish-eye camera is established, and the epipolar curve of the underwater fish-eye image is calculated. Then, in the matching step, an adaptive window based on mean-shift segmentation is proposed to further alleviate the impact of distortion. Experiments are performed on synthetic images and natural scene images. The results show that the proposed model and the calculated epipolar curve are effective and that the adaptive window method could improve the precision of stereo matching on underwater fish-eye images.https://doi.org/10.1177/1729881418764715
spellingShingle Yaqian Li
Yakun Zhang
Haibin Li
Wenming Zhang
Qiang Zhang
Epipolar geometry and stereo matching algorithm for underwater fish-eye images
International Journal of Advanced Robotic Systems
title Epipolar geometry and stereo matching algorithm for underwater fish-eye images
title_full Epipolar geometry and stereo matching algorithm for underwater fish-eye images
title_fullStr Epipolar geometry and stereo matching algorithm for underwater fish-eye images
title_full_unstemmed Epipolar geometry and stereo matching algorithm for underwater fish-eye images
title_short Epipolar geometry and stereo matching algorithm for underwater fish-eye images
title_sort epipolar geometry and stereo matching algorithm for underwater fish eye images
url https://doi.org/10.1177/1729881418764715
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AT yakunzhang epipolargeometryandstereomatchingalgorithmforunderwaterfisheyeimages
AT haibinli epipolargeometryandstereomatchingalgorithmforunderwaterfisheyeimages
AT wenmingzhang epipolargeometryandstereomatchingalgorithmforunderwaterfisheyeimages
AT qiangzhang epipolargeometryandstereomatchingalgorithmforunderwaterfisheyeimages