A Robust Vision-Based Method for Displacement Measurement under Adverse Environmental Factors Using Spatio-Temporal Context Learning and Taylor Approximation

A Robust Vision-Based Method for Displacement Measurement under Adverse Environmental Factors Using Spatio-Temporal Context Learning and Taylor Approximation

Currently, the majority of studies on vision-based measurement have been conducted under ideal environments so that an adequate measurement performance and accuracy is ensured. However, vision-based systems may face some adverse influencing factors such as illumination change and fog interference, w...

Full description

Bibliographic Details
Main Authors: Chuan-Zhi Dong, Ozan Celik, F. Necati Catbas, Eugene OBrien, Su Taylor
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
structural health monitoring
displacement measurement
non-contact
computer vision
environmental factors
spatio-temporal context
Taylor approximation
Online Access:https://www.mdpi.com/1424-8220/19/14/3197

Internet

https://www.mdpi.com/1424-8220/19/14/3197

Similar Items