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Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines
We propose a new flexible technique for accurate vision-based seismic displacement measurement of building structures via a single non-stationary camera with any perspective view. No a priori information about the camera’s parameters or only partial knowledge of the internal camera parameters is req...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601557/ https://www.ncbi.nlm.nih.gov/pubmed/33053806 http://dx.doi.org/10.3390/s20205775 |
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author | Guo, Jia Xiang, Yang Fujita, Kohei Takewaki, Izuru |
author_facet | Guo, Jia Xiang, Yang Fujita, Kohei Takewaki, Izuru |
author_sort | Guo, Jia |
collection | PubMed |
description | We propose a new flexible technique for accurate vision-based seismic displacement measurement of building structures via a single non-stationary camera with any perspective view. No a priori information about the camera’s parameters or only partial knowledge of the internal camera parameters is required, and geometric constraints in the world coordinate system are employed for projective rectification in this research. Whereas most projective rectifications are conducted by specifying the positions of four or more fixed reference points, our method adopts a stratified approach to partially determine the projective transformation from line-based geometric relationships on the world plane. Since line features are natural and plentiful in a man-made architectural building environment, robust estimation techniques for automatic projective/affine distortion removal can be applied in a more practical way. Both simulations and real-recorded data were used to verify the effectiveness and robustness of the proposed method. We hope that the proposed method could advance the consumer-grade camera system for vision-based structural measurement one more step, from laboratory environments to real-world structural health monitoring systems. |
format | Online Article Text |
id | pubmed-7601557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76015572020-11-01 Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines Guo, Jia Xiang, Yang Fujita, Kohei Takewaki, Izuru Sensors (Basel) Article We propose a new flexible technique for accurate vision-based seismic displacement measurement of building structures via a single non-stationary camera with any perspective view. No a priori information about the camera’s parameters or only partial knowledge of the internal camera parameters is required, and geometric constraints in the world coordinate system are employed for projective rectification in this research. Whereas most projective rectifications are conducted by specifying the positions of four or more fixed reference points, our method adopts a stratified approach to partially determine the projective transformation from line-based geometric relationships on the world plane. Since line features are natural and plentiful in a man-made architectural building environment, robust estimation techniques for automatic projective/affine distortion removal can be applied in a more practical way. Both simulations and real-recorded data were used to verify the effectiveness and robustness of the proposed method. We hope that the proposed method could advance the consumer-grade camera system for vision-based structural measurement one more step, from laboratory environments to real-world structural health monitoring systems. MDPI 2020-10-12 /pmc/articles/PMC7601557/ /pubmed/33053806 http://dx.doi.org/10.3390/s20205775 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Guo, Jia Xiang, Yang Fujita, Kohei Takewaki, Izuru Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines |
title | Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines |
title_full | Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines |
title_fullStr | Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines |
title_full_unstemmed | Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines |
title_short | Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines |
title_sort | vision-based building seismic displacement measurement by stratification of projective rectification using lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601557/ https://www.ncbi.nlm.nih.gov/pubmed/33053806 http://dx.doi.org/10.3390/s20205775 |
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