Computer vision-based displacement measurement using spatio-temporal context and optical flow considering illumination variation-Reference-Cited by-同舟云学术

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Computer vision-based displacement measurement using spatio-temporal context and optical flow considering illumination variation

Published:2024-06-06 Issue: Volume: Page:
ISSN:2190-5452
Container-title:Journal of Civil Structural Health Monitoring
language:en
Short-container-title:J Civil Struct Health Monit

Author:

Chen Si-hao,Luo Yong-peng^ORCID,Liao Fei-yu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Fujian Provincial Department of Science and Technology

Key Laboratory for Structural Engineering and Disaster Prevention of Fujian Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13349-024-00812-x.pdf

Reference32 articles.

1. Lee JJ, Fukuda Y, Shinozuka M, Cho S, Yun CB (2007) Development and application of a vision-based displacement measurement system for structural health monitoring of civil structures. Smart Struct Syst. https://doi.org/10.12989/sss.2007.3.3.373

2. Ye XW, Dong CZ, Liu T (2016) A review of machine vision-based structural health monitoring: methodologies and applications. J Sens. https://doi.org/10.1155/2016/7103039

3. Zaurin R, Catbas FN (2010) Integration of computer imaging and sensor data for structural health monitoring of bridges. Smart Mater Struct. https://doi.org/10.1088/0964-1726/19/1/015019

4. Feng X, Jiang Y, Yang X, Du M, Li X (2019) Computer vision algorithms and hardware implementations: a survey. Integr the VLSI J. https://doi.org/10.1016/j.vlsi.2019.07.005

5. Portillo-Rodríguez O (2021) Artificial vision algorithms for socially assistive robot applications: a review of the literature. Sensors 21(17):5728. https://doi.org/10.3390/s21175728

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