Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera

Image-based stream flow observation consists of three components: (i) image acquisition, (ii) ortho-rectification, and (iii) an image-based velocity estimation. Ortho-rectification is a type of coordinate transformation. When ortho-rectifying a raster image, pixel interpolation is needed and causes...

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Main Authors: Ryota Tsubaki, Runye Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Water
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2021.700946/full
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spelling doaj-7a8ae31c9b424ddc83772f64c8e761802021-09-07T06:10:01ZengFrontiers Media S.A.Frontiers in Water2624-93752021-09-01310.3389/frwa.2021.700946700946Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground CameraRyota TsubakiRunye ZhuImage-based stream flow observation consists of three components: (i) image acquisition, (ii) ortho-rectification, and (iii) an image-based velocity estimation. Ortho-rectification is a type of coordinate transformation. When ortho-rectifying a raster image, pixel interpolation is needed and causes the degradation of image resolution, especially in areas located far from the camera and in the direction parallel to the viewing angle. When measuring the water surface flow of rivers with a wide channel width, reduced and distorted image resolution limits the applicability of image-based flow observations using terrestrial image acquisition. Here, we propose a new approach for ortho-rectification using an optical system. We employed an optical system embedded in an ultra-short throw projector. In the proposed approach, ortho-rectified images were obtained during the image acquisition phase, and the image resolution of recorded images was almost uniform in terms of physical coordinates. By conducting field measurements, characteristics of the proposed approach were validated and compared to a conventional approach.https://www.frontiersin.org/articles/10.3389/frwa.2021.700946/fullortho-rectificationspace-time image velocimetrylarge-scale particle image velocimetryoptical systemultra-short-throw projector
collection DOAJ
language English
format Article
sources DOAJ
author Ryota Tsubaki
Runye Zhu
spellingShingle Ryota Tsubaki
Runye Zhu
Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera
Frontiers in Water
ortho-rectification
space-time image velocimetry
large-scale particle image velocimetry
optical system
ultra-short-throw projector
author_facet Ryota Tsubaki
Runye Zhu
author_sort Ryota Tsubaki
title Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera
title_short Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera
title_full Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera
title_fullStr Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera
title_full_unstemmed Optical Ortho-Rectification for Image-Based Stream Surface Flow Observations Using a Ground Camera
title_sort optical ortho-rectification for image-based stream surface flow observations using a ground camera
publisher Frontiers Media S.A.
series Frontiers in Water
issn 2624-9375
publishDate 2021-09-01
description Image-based stream flow observation consists of three components: (i) image acquisition, (ii) ortho-rectification, and (iii) an image-based velocity estimation. Ortho-rectification is a type of coordinate transformation. When ortho-rectifying a raster image, pixel interpolation is needed and causes the degradation of image resolution, especially in areas located far from the camera and in the direction parallel to the viewing angle. When measuring the water surface flow of rivers with a wide channel width, reduced and distorted image resolution limits the applicability of image-based flow observations using terrestrial image acquisition. Here, we propose a new approach for ortho-rectification using an optical system. We employed an optical system embedded in an ultra-short throw projector. In the proposed approach, ortho-rectified images were obtained during the image acquisition phase, and the image resolution of recorded images was almost uniform in terms of physical coordinates. By conducting field measurements, characteristics of the proposed approach were validated and compared to a conventional approach.
topic ortho-rectification
space-time image velocimetry
large-scale particle image velocimetry
optical system
ultra-short-throw projector
url https://www.frontiersin.org/articles/10.3389/frwa.2021.700946/full
work_keys_str_mv AT ryotatsubaki opticalorthorectificationforimagebasedstreamsurfaceflowobservationsusingagroundcamera
AT runyezhu opticalorthorectificationforimagebasedstreamsurfaceflowobservationsusingagroundcamera
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