Home Journals Articles Updates About
CN
image
收藏切换
Robust monitoring of structural 3D deformations using binocular stereo vision
收藏切换
PDF
Qiankun ZHU1, 2, Tingting WANG1, Junying WANG1, Qiong ZHANG1, 2, Yongfeng DU1, 2
Journal of Vibration Engineering | 2025, 38(9) : 2002 - 2010
Less
收藏切换
Journal of Vibration Engineering | 2025, 38(9): 2002-2010
Robust monitoring of structural 3D deformations using binocular stereo vision
Full
Qiankun ZHU1, 2, Tingting WANG1, Junying WANG1, Qiong ZHANG1, 2, Yongfeng DU1, 2
Affiliations
  • 1.Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou 730050, China
  • 2.Western Center of Disaster Mitigation in Civil Engineering of Ministry of Education, Lanzhou University of Technology, Lanzhou 730050, China
Published: 2025-09-10 doi: 10.16385/j.cnki.issn.1004-4523.202308044
Outline
收藏切换

Traditional computer vision methods usually focus on the in-plane dynamic response of structures. Therefore, this paper proposes an image phase-based stereo matching temporal analysis method to achieve targetless robust monitoring of three-dimensional structural deformation. This method uses 2D-Gabor filters and Gaussian pyramid gradient algorithms for image preprocessing, applies a phase-based dense optical flow tracking algorithm and an improved semi-global block matching (SGBM) algorithm to realize full-field measurement of structural displacement in the region of interest, and further proposes an intuitive displacement-strain conversion method to measure three-dimensional strain of structures. Through virtual reality experiments based on physics-based graphics models (PBGM), it is verified that the error of this method compared with 3D-DIC and finite element analysis deformation is less than 2%; in vibration tests of outdoor bridge structures in the laboratory, the deformation error compared with traditional testing methods can be controlled within 8%, meeting engineering application accuracy. Without compromising accuracy, this method achieves targetless robust monitoring of three-dimensional structural deformation, and better solves the problems of large environmental impact and high cost in traditional structural deformation monitoring.

computer vision  /  stereo matching algorithms  /  phase  /  physics-based graphics models  /  three-dimensional deformation of structure
Qiankun ZHU, Tingting WANG, Junying WANG, Qiong ZHANG, Yongfeng DU. Robust monitoring of structural 3D deformations using binocular stereo vision[J]. Journal of Vibration Engineering, 2025 , 38 (9) : 2002 -2010 . DOI: 10.16385/j.cnki.issn.1004-4523.202308044
Appendix
Less
Year 2025 volume 38 Issue 9
PDF
88
42
Cite this Article
BibTeX
Article Info
doi: 10.16385/j.cnki.issn.1004-4523.202308044
  • Receive Date：2023-08-22
  • Online Date：2026-02-09
  • Published：2025-09-10
Article Data
Affiliations
History
  • Received：2023-08-22
  • Revised：2023-11-14
Funding
Affiliations
    1.Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou 730050, China
    2.Western Center of Disaster Mitigation in Civil Engineering of Ministry of Education, Lanzhou University of Technology, Lanzhou 730050, China
References
Share
https://castjournals.cast.org.cn/joweb/zdgcxb/EN/10.16385/j.cnki.issn.1004-4523.202308044
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House