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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Frontiers Media S.A.
2021-09-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/frwa.2021.700946/full |
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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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